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Google Data Science Certificate | Google Data Analytics Certificates

Google vs IBM Data Analytics Certificates | Which is Better?

Reviewing Course 8: Data Analytics Capstone Project: Complete a Case Study

Finally, you’ll spend about nine hours completing your capstone project: a case study. It’s optional but highly recommended.

During this course, you will choose your case study scenario, ask the right questions, clean data, process and analyze data, and use visualization skills to present the data. It’s the perfect culmination of everything you’ve learned – and it’ll be impressive to potential employers, too.

Summary of the Google Data Analytics Certification

It’s a great basic introduction to the world of data analytics. You’ll get a grounding in the concepts and theories, and you’ll get some hands-on practice, too.

After you complete the certificate, you’ll also get access to some career tools, like expert training and hands-on projects. You’ll get a resume-building tool, mock interviews, and career networking support.

But that’s where it ends.

What does the Google Data Analytics Certification leave out?

The Google Data Analytics Certification claims that the average salary for a data analyst is around $74k.

That’s a fine entry-level career. But if you apply yourself a little more and learn some additional skills to improve your understanding and your hireability, you could be looking at six figures or more if you master data science skills.

You also won’t get any access to learning Python, which is one of the most prominent and desirable programming languages for jobs in any data-based career.

Finally, the Google Data Analytics Certification covers some interview skills, but not all. Practicing real interview questions is critical to getting a job as a data analyst.

Does the Google Data Analytics Certification help you learn the advanced concepts to get the job in 2023?

In short, no. It’s a good foundation, but it’s not everything you need to get the job as an entry-level data analyst or beyond in a data science career path.

To get the job, you also need to:

  • Learn advanced concepts
  • Build projects
  • Practice interviews

Here are a few resources to help you do that.

Qualify for in-demand jobs in data analytics

Data analysts prepare, process, and analyze data to help inform business decisions. They create visualizations to share their findings with stakeholders and provide recommendations driven by data.

  • Data analyst
  • Junior data analyst
  • Associate data analyst
  • Operations analyst
  • Business systems analyst

Learn more about the certificate

Data Analytics Certificate

Hosted on Coursera, this fully online program provides all the skills you need to find an entry-level job in the field of data analytics, even if you don’t have prior experience.

You’ll learn about:
  • Data types and structures
  • Using data to solve problems
  • How to analyze data
  • Data storytelling with visualizations
  • Using R programming to supercharge your analysis
You’ll learn about:
  • Data types and structures
  • Using data to solve problems
  • How to analyze data
  • Data storytelling with visualizations
  • Using R programming to supercharge your analysis

Certificate curriculum:

  • Foundations: Data, Data, Everywhere
  • Ask Questions to Make Data-Driven Decisions
  • Prepare Data For Exploration
  • Process Data from Dirty to Clean
  • Analyze Data to Answer Questions
  • Share Data Through the Art of Visualization
  • Data Analysis with R Programming
  • Data Analytics Capstone Project: Complete a Case Study
Preview the certificate material

Get on the fast track to in-demand jobs with top employers

Complete a Google Career Certificate to get exclusive access to CareerCircle, which offers free 1-on-1 coaching, interview and career support, and a job board to connect directly with employers, including over 150 companies in the Google Career Certificates Employer Consortium.

Complete online certificate courses, at your own pace and time.

Access career resources like coaching sessions, mock interviews, and a resume builder tool.

Share your resume and get connected with national and local employers.

CONNECT WITH +150 TOP EMPLOYERS, INCLUDING THESE:

Advanced Google Career Certificates

Advanced Google Career Certificates build on the skills from our foundational certificates and provide continued learning opportunities for graduates to go deeper in the field.

Advanced Data Analytics Certificate

Advanced data analysts and data scientists are responsible for collecting, analyzing, and interpreting extremely large amounts of data.

Prepare for jobs such as:
Prepare for jobs such as:

Tools included:

Jupyter Notebook, Python, Tableau

You’ll learn about:

  • Regression analysis
  • Python
  • Translating data
  • Statistics
  • Machine learning

Business Intelligence Certificate

Business intelligence professionals help organizations collect, structure, interpret, and report on business data to help stakeholders make informed decisions.

Prepare for jobs such as:
Prepare for jobs such as:

Tools included:

BigQuery, Tableau, SQL

You’ll learn about:

  • Business intelligence analysis
  • Data modeling
  • ETL process
  • Dashboards and reporting
  • Engaging with stakeholders about data findings

“I really enjoyed the certificate content because it helped to reinforce the foundational knowledge I gained from the Google Data Analytics Certificate, going deeper into the topics I enjoyed like data visualization and communicating with stakeholders, while also introducing new tools and processes. I also found the activities challenging, which allowed me to critically think through the solutions and provide my unique perspective.”

Latoya B., Business Intelligence Certificate

“The certificate built on the skills from the Google Data Analytics Certificate, solidifying those foundations while introducing new concepts and tools to differentiate data analytics from business intelligence. I felt fully immersed into the world of Business Intelligence and look forward to taking the next step in my career.”

Kwame O., Business Intelligence Certificate

“The instructional videos in the Google Advanced Data Analytics Certificate were well-paced and easy to follow. I really enjoyed the instructors, particularly Cassie; her optimism towards data is infectious. She did a great job explaining the roles of different data professionals, especially in differentiating data analysts, data scientists, and business intelligence analysts. She helped me see the breadth of data-related careers.”

Johanna G., Advanced Data Analytics Certificate

“I found the Google Advanced Data Analytics Certificate very engaging and I loved going deep and learning more about the field. This program gave me the confidence that I really know what I am doing in the data analytics field, and now I feel motivated to apply for more data analytics roles.”

Carlos M., Advanced Data Analytics Certificate

Industry Specializations

Industry Specializations build on the skills from our foundational certificates and are developed by partners to provide expertise for jobs in fast-growing industries.

Finance Specialization

Developed by the University of Illinois’ Gies College of Business and hosted on Coursera, this fully online program provides the skills you need to find entry-level jobs in careers involving financial analysis.

Prepare for jobs such as:
Prepare for jobs such as:

You’ll learn about:

  • The importance of adopting a financially analytic mindset
  • Identifying and applying fundamental principles of accounting and finance
  • Measuring and assessing an organization’s financial position and performance
  • Performing basic financial statement analysis
  • Using planning and budgeting to effectively and efficiently allocate resources

Public Sector Specialization

Developed by the University of Michigan and hosted on Coursera, this fully online program provides the skills you need to find entry-level data analyst jobs in the public sector.

Prepare for jobs such as:
Prepare for jobs such as:

You’ll learn about:

  • The role of data and data analytics in the core functions of public administration and in the formation and evaluation of public policy
  • Applying data manipulation and visualization techniques to a wide range of public sector data
  • Building technical skills using R, RStudio, and the tidyverse libraries of dplyr and ggplot
  • Identifying and addressing common political and ethical challenges in public sector data analysis, interpretation, and communication
Google vs IBM Data Analytics Certificates | Which is Better?
Google vs IBM Data Analytics Certificates | Which is Better?

Reviewing Course 5: Analyze Data to Answer Questions

We’re halfway through the course at this point. And now, we get to the actual analysis part. Finally, you’ll be using advanced formulas and SQL queries to perform complex data calculations.

This course covers:

  • Organizing data
  • Formatting and adjusting data
  • Aggregating data
  • Doing data calculations

This course is the longest so far, with an expected 26 hours of learning time.

Kết

Vậy là đã xong nội dung bài viết lần này rồi. Tuy là hơi dài nhưng mà Maz muốn cung cấp cho mọi người nhiều thông tin nhất một cách có thể. Việc chọn lựa một khóa học cho bản thân vô cùng quan trọng vì phía trước bạn sẽ phải đánh đổi thời gian, công sức và tiền cho việc học. Vì vậy hãy cân nhắc thật kĩ và chọn lựa cho mình một nơi phù hợp nha.

Mọi người có thể đọc lại các bài viết mà Maz có nói về SQL và Tableau ở đây nha.

Tham gia nhóm chia sẻ kiến thức Data ở đây: Link nhóm

Follow Maz tại đây để cùng cập nhật thông báo mỗi khi có bài viết mới nhé:

** Mọi thông tin trên blog đều thuộc bản quyền của blog Maz Nguyen. Vui lòng đọc kĩ Copyright Notice trước khi copy hoặc đăng tải lại nội dung/hình ảnh của bài viết **

—————————————————————————————————–

Maz có một dự án dạy học ở đây: Maz Học Data với SQL là course đầu tiên, bạn có thể tham khảo qua nếu thấy cần thiết nhé.

Google Data Analytics Professional Certificate | It's Finally Here!
Google Data Analytics Professional Certificate | It’s Finally Here!

Những điểm còn thiếu

  • Các kĩ năng dạy chưa thật sự sâu sát: SQL , R, Tableau, Excel. Hầu hết bài giảng và cách tiếp cận được Google thiết kế dựa trên “vấn đề cần gì thì mình học cái đó”. Việc này mang tính áp dụng thực tiễn cao nhưng không đảm bảo bạn sẽ hiểu đầy đủ toàn vẹn kiến thức ở các kĩ năng. Ví dụ như nếu học về SQL, thật sự sẽ còn rất rất nhiều phần kiến thức mình nên học qua chứ không phải “cưỡi ngựa xem hoa” vài nội dung như: SELECT – FROM – WHERE – JOIN – PIVOT – GROUP BY. Tương tự như vậy cho phần của Tableu và R.
  • Khóa học có ở Coursera và có phí 39USD/ tháng. Nếu bạn hoàn thành càng nhanh bạn càng tiết kiệm được tiền. Nếu bạn muốn free thì có thể xin tài trợ từ Coursera.

Lời khuyên của Maz

Reviewing Course 2: Ask Questions to Make Data-Driven Decisions

The first course mostly introduced data analysis to a layperson. This course is where you’ll start to learn actual skills. Expect this course to take around 19 hours.

Not many novices realize how much data analytics is knowing the right way to think. Being able to code isn’t enough – you need a true analytical mindset to succeed. That’s what this course teaches.

You’ll learn how to ask effective questions, how to make data-driven decisions, the basics of spreadsheets, and how to prioritize the stakeholder.

You’ll be tested with five graded quizzes.

Google Advanced Data Analytics Professional Certificate First Look | Is it Worth it?
Google Advanced Data Analytics Professional Certificate First Look | Is it Worth it?

Google Data Analytics Certificates

Whether you’re just getting started or want to take the next step in the high-growth field of data analytics, professional certificates from Google can help you gain in-demand skills. You’ll learn about R programming, SQL, Python, Tableau and more.

  • 100% remote, online learning
  • Access to over 150 employers
  • Hands-on, practice-based training

Practice interview questions

At this stage of the interview process, you’ve crafted a gorgeous resume and portfolio with hands-on projects and demonstrated an understanding of the skills required.

Then you get thrown a curveball interview question and you’re stumped. The best way to avoid this is by practicing real interview questions from real data science interviews. Our own platform StrataScratch offers both coding and non-coding questions to help you nail every interview you might come across.

Is the Google Data Analytics Certificate Worth It In 2023?

If you’re a total beginner, it’s a great first step – definitely worth the time and money you’ll spend to get certified. But if you already know a bit about data analytics, it’s not worth it.

(One alternative if you’re already a data analytics whiz: sign up for Coursera for just a month, fly through the course, and ace all the quizzes – that way you can be “certified” for just $39.)

Furthermore, it’s not enough to get a job. The job landscape is a bit more competitive nowadays – you need to demonstrate an understanding of more advanced concepts, host a full portfolio of personal projects, and ace your technical interview to stand a chance.

Finally, if you want to get a job beyond entry-level data analytics, the Google Data Analytics Certificate is worth it but again, not sufficient. By bolstering your resume and knowledge with tools like Boot.dev, HackerRank, StrataScratch, and Kaggle, you stand a much better chance of landing your dream job in data analytics or beyond.

Nate Rosidi is a data scientist and in product strategy. He’s also an adjunct professor teaching analytics, and is the founder of StrataScratch, a platform helping data scientists prepare for their interviews with real interview questions from top companies. Connect with him on Twitter: StrataScratch or LinkedIn.

Google Data Analytics Certificates

Whether you’re just getting started or want to take the next step in the high-growth field of data analytics, professional certificates from Google can help you gain in-demand skills. You’ll learn about R programming, SQL, Python, Tableau and more.

  • 100% remote, online learning
  • Access to over 150 employers
  • Hands-on, practice-based training
Google Data Analytics Certificate | Coming Out Soon!
Google Data Analytics Certificate | Coming Out Soon!

Frequently asked questions

Data is a group of facts that can take many different forms, such as numbers, pictures, words, videos, observations, and more. We use and create data every day, like when we stream a show or song or post on social media.

Data analytics is the collection, transformation, and organization of these facts to draw conclusions, make predictions, and drive informed decision-making.

A data analyst prepares, processes, and analyzes data to help inform business decisions. Data analysts create visualizations to share their findings with stakeholders and provide recommendations driven by data.

A data analyst learns how to work with data to solve problems. Data analyst skills include the ability to…

  • Collect, clean, and organize data for analysis
  • Conduct data analysis and calculations
  • Visualize and present data findings
  • Work with spreadsheets, programming languages, and data visualization platforms

A data analyst works with data to solve business problems using tools like SQL, R or other programming languages, data visualization software, and statistical analysis. A data scientist uses more advanced data techniques to make predictions about the future. They may come up with the questions their team should be asking and determine how to use data to answer them.

Companies must continually adjust their products, services, tools, and business strategies to meet consumer preferences and demand and to react to emerging trends. Because of this, a data analyst career is an in-demand option with competitive pay.

Data analysts make sense of data and numbers to help organizations make better business decisions. They prepare, process, analyze, and visualize data, discovering patterns and trends and answering key questions along the way. Their work empowers their wider team to make better business decisions.

The Google Data Analytics Certificate is for anyone with a curiosity about how things work. No prior experience or specific tool is required. All you need is high-school-level math.

Enrolling in the Google Data Analytics Certificate will teach you the skill set required to become a junior or associate data analyst. Data analysts know how to ask the right question; prepare, process, and analyze data for key insights; effectively share their findings with stakeholders; and provide data-driven recommendations for thoughtful action.

You’ll learn these job-ready skills in our certificate program through interactive content (discussion prompts, quizzes, and activities) in under six months, with under 10 hours of flexible study a week.* Along the way, you’ll work through a curriculum designed with input from top employers and industry leaders, like Tableau, Accenture, and Deloitte. You’ll even have the opportunity to complete a case study that you can share with potential employers to showcase your new skill set.

After you’ve graduated from the program, you’ll have access to career resources and the opportunity to connect directly with over 150 employers who are hiring for open entry-level roles in data analytics.

The data analytics courses offered in the Google Data Analytics Certificate are…

  • Foundations: Data, Data, Everywhere
  • Ask Questions to Make Data-Driven Decisions
  • Prepare Data For Exploration
  • Process Data from Dirty to Clean
  • Analyze Data to Answer Questions
  • Share Data Through the Art of Visualization
  • Data Analysis with R Programming
  • Data Analytics Capstone Project: Complete a Case Study

The data analysis tools and platforms included in the certificate curriculum are spreadsheets (Google Sheets or Microsoft Excel), SQL, presentation tools (Powerpoint or Google Slides), Tableau, RStudio, and Kaggle.

This data analytics program teaches the open-source programming language R. R is a great starting point for foundational data analysis, and offers helpful packages for beginners to apply to their projects. We do not cover Python in the curriculum but encourage learners to explore Python after completion if they’d like to continue their learning journey.

Yes! The Google Data Analytics Certificate courses are 100-percent online learning. Start right away and learn on your own schedule.

The Google Data Analytics Certificate can be completed in three months working approximately 20 hours per week, or in six months working 10 hours per week. To finish the eight courses that make up the certificate, around 240 hours total are needed.*

The Google Data Analytics, Advanced Data Analytics, and Business Intelligence certificates are available globally in English on Coursera, an online learning platform that offers access to online courses. Google has worked with Coursera to make Google Career Certificates available on their platform.

The Google Career Certificates Employer Consortium consists of over 150 U.S. companies like Target, Infosys, Verizon, Wells Fargo and Google. These companies span multiple sectors and are committed to considering Google Career Certificate graduates for entry-level jobs. Upon completion of the Google Data Analytics Certificate, you will gain access to an exclusive job platform where you can easily apply to opportunities from employers with open jobs.

Employers interested in joining the Google Career Certificates Employer Consortium can find more information at grow.google/employers.

After you complete the Google Data Analytics Certificate, you will have access to expert training and hands-on projects designed to prepare you for a job in data analytics, including a resume-building tool, mock interviews, and career networking support designed to help you with your job search.

You’ll also be able to connect with over 150 US employers in the hiring consortium who are accepting candidates who have completed the Google Data Analytics Certificate.

The Google Data Analytics Certificate was designed and built by subject-matter experts and senior practitioners at Google. This certificate has been created to equip learners with theoretical and practical knowledge and real-life problem-solving skills to be successful in an entry-level job.

The Google Data Analytics Certificate costs $49 per month on Coursera after an initial 7-day free trial period. All Google Career Certificates are completely self-paced. At about 10 hours of study per week, many learners complete a Google Career Certificate in three to six months.

The Google Advanced Data Analytics Certificate costs $49 per month on Coursera after an initial 7-day free trial period. All Google Career Certificates are completely self-paced. At about 10 hours of study per week, many learners complete a Google Career Certificate in three to six months.

The Google Business Intelligence Certificate costs $49 per month on Coursera after an initial 7-day free trial period. All Google Career Certificates are completely self-paced. At about 10 hours of study per week, many learners complete a Google Career Certificate in three to six months.

Example: If you are interested in financial assistance for the Google Data Analytics Certificate, you may be eligible for financial aid via Coursera through the course page. Recipients of financial aid will have full access to course content and assignments required to earn a certificate. To apply, go to the certificate course page on Coursera and click the “Financial aid available” link next to the “Enroll” button.

Google has also funded 100,000 scholarships for Google Career Certificates, which will be distributed by Grow with Google partners and Google.org grantees like Merit America, Per Scholas, NPower, Goodwill, Futuro Health, Generation USA, UnidosUS, LULAC and Hispanic Federation. These funds will create a lasting impact in helping people land high-quality jobs in high-growth fields.

Those planning to attend a degree program can utilize ACE®️ recommendations, the industry standard for translating workplace learning to college credit. Learners can earn a recommendation of 12 college credits for completing the Data Analytics Certificate, the equivalent of 4 college courses at the bachelor’s degree level. This aims to help open up additional pathways to learners who are interested in higher education, and prepare them for entry-level jobs.

To share proof of completion with schools, certificate graduates will receive an email prompting them to claim their Credly badge, which contains the ACE®️ credit recommendation. Once claimed, they will receive a competency-based transcript that signifies the credit recommendation, which can be shared directly with a school from the Credly platform. Please note that the decision to accept specific credit recommendations is up to each institution and is not guaranteed.

The Google Data Analytics Certificate is currently available in English and we are working to bring this certificate in additional languages. Please check back here for updates.

Prepare for a new career in the high-growth field of data analytics, no experience or degree required. Get professional training designed by Google and have the opportunity to connect with top employers. There are 483,000 open jobs in data analytics with a median entry-level salary of $92,000.¹

Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making.

Over 8 courses, gain in-demand skills that prepare you for an entry-level job. You’ll learn from Google employees whose foundations in data analytics served as launchpads for their own careers. At under 10 hours per week, you can complete the certificate in less than 6 months.

Upon completion, you can directly apply for jobs with Google and over 150 U.S. employers, including Deloitte, Target, Verizon, and of course, Google.

75% of certificate graduates report a positive career outcome (e.g., new job, promotion, or raise) within six months of completion²

¹Lightcast™ US Job Postings (2022: Jan. 1, 2022 – Dec. 31, 2022)

²Based on program graduate survey, United States 2022

Applied Learning Project

This program includes over 180 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world data analytics scenarios that are critical for success in the workplace. The content is highly interactive and exclusively developed by Google employees with decades of experience in data analytics. Through a mix of videos, assessments, and hands-on labs, you’ll get introduced to analysis tools and platforms and key analytical skills required for an entry-level job.

Skills you’ll gain will include: Data cleaning, problem solving, critical thinking, data ethics, and data visualization

Platforms and tools you will learn include: Presentations, Spreadsheets, SQL, Tableau and R Programming

In addition to expert training and hands-on projects, you’ll complete a case study that you can share with potential employers to showcase your new skill set. Learn concrete skills that top employers are hiring for right now.

Google Data Analytics Certification Review for 2023

What is the Google Data Analytics Certification? And, more importantly, is it still worth getting it in 2023?

What is the Google Data Analytics Certification? And, more importantly, is it still worth getting it in 2023? As the job field changes, tech layoffs shake the employee landscape, and technology evolves, is the Google Data Analytics Certification a one-stop shop to get a job?

Here’s a one-sentence summary: The Google Data Analytics Certification is a course that teaches you data analytics, both the numbers and the business side.

To go a little more in-depth, it’s geared toward teaching total novices how to do data analytics at a basic level. It’s a fully remote course that takes around 10 hours of study per week – 181 hours total. Google offers it through Coursera. On average, it takes students eight months to get certified, which puts the cost at around $312 (eight months x $39/month for the Coursera Plus subscription).

So, is the course worth it? Is it even $312? It all comes down to what you want the Google Data Analytics Certification for.

By the end of the course, Google promises that you’ll:

  • Understand the practices and processes used by entry-level data analysts in their day-to-day jobs
  • Learn the critical analytical skills to get early-stage data analyst jobs, like data cleaning, analysis, & visualization
  • Be familiar with tools and languages like spreadsheets, SQL, R programming, and Tableau
  • Understand how to clean and organize data for analysis
  • Know how to do analysis and calculations using spreadsheets, SQL, and R programming
  • Be able to visualize and present data findings in dashboards, presentations, and other commonly used visualization platforms

They also offer post-certification career help, like putting you in touch with their hiring partners. Google boasts 150 hiring partners for their data analytics track.

Who is it good for?

If you’re looking for an entry-level role in data analytics, this course is a good first step, and worth the ~$300 you’ll pay for it.

If you want to secure a job, go for a more experienced role, or gain exposure to advanced concepts, it’s still a good first step – but some other tools and courses might be a better fit for you.

In short, the Google Data Analytics Certification teaches you how to be an entry-level data analyst.

However, it does not teach you how to get the job – getting interviews, acing interview questions, writing resumes, or putting together a kickass portfolio. It also is very basic and won’t get into advanced concepts.

Let’s dive into the full Google Data Analytics Certification review.

What will the Google Data Analytics Certification teach you?

Throughout eight sections, the Google Data Analytics Certification will teach you how to:

  • Do all and any tasks you’d need to do as a junior data analyst
  • Clean data, run analyses, visualize and present data
  • Use tools like R, SQL, and Tableau to process data
  • Use spreadsheets to perform complex calculations

Let’s take a look at each of the eight courses to see how that breaks down.

Các kĩ năng mình được Google dạy khi làm phân tích

Trong lộ trình này, mình học tổng cộng 8 khóa học tương ứng với 6 giai đoạn trong quá trình làm phân tích dữ liệu kết hợp với khóa mở đầu giới thiệu các khái niệm và khóa cuối cùng là thực hiện một project.

Nội dung cụ thể từng course như sau:

Course 1: Foundations: Data, Data, Everywhere!

Google sẽ giải thích một số khái niệm cơ bản trong trong môi trường và công việc phân tích dữ liệu như data ecosystem, data analysis process, data roles and qualifications of a data analyst. Từ đó bạn sẽ có được những kiến thức tổng quan nhất, cũng như hiểu được vì sao Google lại chia nội dung học thành 8 courses vì nó tương ứng với các giai đoạn phân tích dữ liệu mà Google đề xuất.

Điểm sơ qua các nội dung tiêu biểu mà mình học được trong khóa này:

  • The 5 essential skills of a Data Analyst
  • The 5 key aspects of Analytical Thinking
  • Variations of the data life cycle
  • 6 steps of Data Analysis
  • Tools a Data Analyst uses in a Data Ecosystem

Course 2: Ask Questions to make Data-Driven Decisions

Mọi người thường nghĩ Data Analyst chỉ làm phân tích trong lúc xử lý data để tìm ra insights. Nhưng thực tế là mình đã thực hiện việc phân tích ngay từ khi tiếp nhận một yêu cầu hay một bài toán. Mình phải phân tích rõ các khía cạnh của yêu cầu bằng việc đặt những câu hỏi cần thiết cho đối tác, từ đó xây dựng được cho mình chiến lược phân tích và giải quyết vấn đề.

Các điểm chính trong khóa này:

  • Asking effective Questions using SMART Methodology
  • 6 common types of problems:
  • Small data and big data
  • Types of Stakeholders and their roles in the project
  • How to work with the stakeholders and tips for Communication

Phải nói rằng, khi học xong course này mình càng thấy rõ tầm quan trọng của việc xác định đúng vấn đề và hướng giải quyết khi bắt đầu phân tích một bài toán.

Course 3: Preparing Data for Exploration

Chuẩn bị dữ liệu là giai đoạn thứ hai trong “Data analysis process”. Bước này vô cùng quan trọng vì đơn giản không có đủ dữ liệu thì bạn chẳng thể nào làm phân tích được cả.

Các nội dung tiêu biểu:

  • Data sources
  • Differentiate between data format & structures
  • Data types and how to identify good data
  • Data modeling levels and techniques
  • Understanding bias, credibility, privacy, ethics, and access
  • SQL Basics with BigQuery
  • Getting started with Linkedin and Kaggle.

Mình ấn tượng rất nhiều nội dung khóa này như là: làm sao để phân biệt tính đúng đắn và toàn vẹn của dữ liệu, cách cấu trúc và tổ chức các loại data cũng như cung cấp một số nguồn để lấy data như Kaggle hay GitHub.

Course 4: Process Data from Dirty to Clean

Tiếp nối nội dung của khóa số 3 (chuẩn bị dữ liệu đầy đủ và đảm bảo tính toàn vẹn của dữ liệu). Ở course số 4, mình được tiếp cận các phương pháp chuẩn hóa và làm sạch dữ liệu một cách chỉn chu và có phương pháp.

Điểm qua một vài nội dung thú vị nhé:

  • Describe statistical measures associated with data integrity including statistical power, hypothesis testing, and margin of error

Một số kiến thức thống kê se được nhắc đến: sample, population, margin of error, A/B testing và confidence interval, …

  • Why data integrity is important?
  • What to do when you find an issue with your data?
  • Data Cleaning techniques
  • Cleaning Data in Spreadsheets and SQL
  • Documenting Data Cleaning process

Course 5: Analyze Data to Answer Questions

Chuyện gì tới cũng sẽ tới, giai đoạn phân tích ở đây rồi. Mục tiêu của course này là giúp mình hiểu rõ goals và những nhiệm vụ chính trong lúc khai phá insights từ dữ liệu. Ngoài ra, SQL sẽ được hướng dẫn nhiều ở khóa này.

Các nội dung chính bao gồm:

  • Aggregating data for analysis
  • Organizing Data for analyzing
  • Sorting Data in Spreadsheet and SQL
  • Converting and Formatting Data
  • Combining multiple Datasets
  • Data aggregation using VLOOKUP and JOINS
  • Pivot Tables and Data Validation process.

Thú vị nhất theo mình là các phần kiến thức xử lý dữ liệu với SQL. Xuất phát từ yêu cầu bài toán, bạn được hướng dẫn dùng các phần quan trọng nào của SQL để xử lý.

Course 6: Share Data through the Art of Visualization

Phân tích bằng Excel với SQL rồi, tiếp theo mình sẽ được học phương pháp trực quan hóa dữ liệu bằng Tableau để có thể mang kết quả trình bày với các đối tác một cách hiệu quả hơn.

  • Data visualization and Communicate Data insights
  • Frameworks for organizing Visualizations với The McCandless Method và Kaiser Fung’s Junk Charts Trifecta Checkup
  • Principles of Design:

    • Choose the right visual
    • Optimize the data-ink ratio
    • Use orientation effectively
    • Color
    • Numbers of things
  • Phases of Design Thinking
  • Data Storytelling with Tableau
  • A recipe for a powerful visualization

Phải nói đây là một trong những course thú vị nhất. Bởi lẽ có quá nhiều kiến thức hay ho mình đã được học một cách bài bản hơn bao giờ hết.

Course 7: Data Analysis with R Programming

Ngoài dùng Excel, SQL và Tableau để thực hiện hết các quá trình phân tích phía trên, Google còn muốn mang đến cho học viên một loại ngôn ngữ lập trình phân tích dữ liệu là R. Trong khóa này, mình được trang bị các kiến thức như:

  • Basic programming concepts: Các khái niệm cơ bản khi bạn tiếp xúc với một ngôn ngữ mới
  • Exploring R packages: Tìm hiểu các thư viện của R
  • Cleaning Data in R: Làm sạch dữ liệu với R
  • Creating Data Visualizations in R: Trực quan hóa dữ liệu với các thư viện có sẵn

Ngoài ra, trong phần hands-on bạn sẽ được luyện tập trên RStudio từ các mức độ dễ đến khó.

Course 8: Google Data Analytics Capstone: Complete a Case Study

Chương cuối là nơi để mình có thể tổng hợp tất cả các kiến thức và kĩ năng đóng gói lại trong một vấn đề/bài toán thực tế. Có 2 projects được Google cung cấp là:

  • Case Study 1: Cyclistic Bike-Share
  • Case Study 2: Bellabeat smart devices

Sau khi bạn hoàn thành việc xử lý data, phân tích với SQL, Tableau và R thì sẽ phải tổng hợp lại một file báo cáo. Xây dựng thêm porfolio là chuyên mục cuối cùng mà Google hướng dẫn. Cụ thể bạn có thể tạo tài khoản trên GitHub, sau đó đăng tải các sản phẩm của mình lên đó.

Mock interview (phỏng vấn thử) là một phần cũng thú vị. Được xem người của Google tuyển dụng và quá trình phỏng vấn xuyên suốt 3 vòng cũng giúp mình phần nào có nhiều kinh nghiệm hơn.

Đánh giá của mình về chứng chỉ này

Advanced Data Analytics,Google | Data Analytics
Advanced Data Analytics,Google | Data Analytics

Reviewing Course 7: Data Analysis with R Programming

SQL and Tableau have their place, but R is the first and only “real” coding language you’ll learn in this course. Consider this course an intro to R.

This is by far the most time-intensive course, with an expected 38 hours required to complete it. It’s also the most complex. R is a powerful language, and this course only really scratches the surface. The six graded assignments will prove not that you’re an R master, but that you know enough R to become Google Data Analytics certified.

The first portion of this course alone is 8 hours of intro to programming and data analytics with R. Then you’ll get into programming using R’s IDE, RStudio. Then you’ll learn how to work with data in R. Finally, you’ll cover visualizations, documentation, and reports in R.

It’s geared toward total beginners, so don’t get intimidated! But do expect to take your time as you walk through this course.

Đối tượng không phù hợp

  • Người đã có kinh nghiệm và kiến thức về Data analytics từ trước. Thật ra mình học là để củng cố kiến thức nền tảng để có trình bày những điều cơ bản này một cách khoa học và dễ dàng. Nếu nói mình học được nhiều kiến thức mới không thì mình phải thừa nhận là không, ngoại trừ mình có học được R.
  • Người muốn sử dụng Power BI cũng như Python. Một cách dễ hiểu rằng nếu bạn học Tableau và R sẽ không phổ biến bằng 2 đối thủ kia.
Data Analytics for Beginners | Google Data Analytics Certificate
Data Analytics for Beginners | Google Data Analytics Certificate

Learn advanced concepts

It’s not enough to know how to ask good questions and visualize data. To stand out as a data analyst candidate, it’s also important to be familiar with advanced concepts in the field.

Boot.dev is a great resource to learn the fundamental concepts that underpin all software development, data science, and data analysis.

This platform can help teach you Python, which is critical for data analysis, as well as concepts like data structures algorithms, and functional programming. It’s built for backend developers more than data analysts, but a lot of the necessary skills overlap. It’s also very reasonably priced at just $24/month.

HackerRank is another fantastic option to learn more advanced skills in data analysis/science. They offer interview kits, courses, and certifications across all sorts of skills and disciplines to go above and beyond.

Các bài viết liên quan

12 CHỨNG CHỈ HÀNG ĐẦU TRONG LĨNH VỰC DATA ANALYTICS!

Bạn có đam mê với số liệu và muốn trở thành chuyên gia trong lĩnh vực Data Analytics? Cùng MCI tìm hiểu 12 chứng chỉ hàng đầu mà bạn nên trau dồi để nâng cao kỹ năng và phát triển sự nghiệp của mình trong ngành này nhé!

Earn a data science certificate

Professional Certificates

MasterTrack Certificates

University Certificates

Data Science for Beginners | Google Advanced Data Analytics Certificate
Data Science for Beginners | Google Advanced Data Analytics Certificate

Learn more about online data science certificates on Coursera

Professional Certificates

Get job-ready for an in-demand career Professional Certificates on Coursera can help you get job-ready for an in-demand career field in less than a year. Earn a career credential, apply your knowledge to hands-on projects that showcase your skills for employers, and get access to career support resources. Many programs also provide a pathway to an industry-recognized certification.

MasterTrack Certificates

Benefit from master’s degree learning that can count as credit With MasterTrack Certificates, portions of Master’s programs have been split into online modules, so you can earn a high quality university-issued career credential at a breakthrough price in a flexible, interactive format. Benefit from a deeply engaging learning experience with real-world projects and feedback from expert instructors. If you are accepted to the full Master’s program, your MasterTrack coursework can count towards your degree.

University Certificates

Begin developing expertise in your chosen field of study In these certificate programs from leading universities, you can get the advanced training necessary to take on more senior roles in your chosen profession. Upon completion, you’ll earn a university-issued certificate you can share with recruiters, hiring managers, and employers. Plus, by immersing yourself in a cohort-based learning experience where you’ll engage in live, expert instruction, you’ll build your network and gain insights and advice from other working professionals.

New advanced Google Career Certificates in data analytics

In Google Search, we see people looking for ways to grow in their careers. In fact, search interest for “how to become a data analyst” reached a global all-time high in 2023. Companies report the largest skills gap in this business area, and the demand for data analytics skills is growing over 15 times faster than the demand for the average skill in the U.S.

It’s no wonder people are eager to enter this growing field. It’s in-demand across industries as businesses of all types around the world recognize that strong analytics improve business performance, it pays well even at entry-level positions, with a median salary of $92,0001, and it offers significant upward career opportunities.

Today, we’re announcing new advanced certificates in Business Intelligence and Advanced Data Analytics. These certificates build on the foundations of the Google Data Analytics Certificate program, the most popular professional certificate on Coursera globally. Developed and taught by experts at Google, these advanced credentials are designed to help people enhance their technical skills with tools such as BigQuery, Python and SQL. With skills like these, people can grow in their data analytics careers — whether that means unlocking new opportunities, assuming more responsibilities or gaining a competitive edge.

  • In under two months, learners who complete the Google Business Intelligence Certificate will be able to create processes and information channels that transform data into actionable insights for organizations, and prepare for roles like Business Intelligence Analyst and Business Intelligence Engineer.
  • And in under six months, graduates of the Google Advanced Data Analytics Certificate will understand how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepare for jobs like Senior Data Analyst and Junior Data Scientist, with median market salary of $118,000+.2

To connect graduates to jobs, the Google Career Certificates program includes an employer consortium of over 150 companies that are committed to considering recent graduates for open roles. And, more than 2,000 businesses, including Accenture, Deloitte, Hackensack Meridian Health, Lyft, Shutterstock and Google, are using the Google Career Certificates to upskill or reskill their workforce and improve employee engagement.3

And as higher education institutions, like our partners the University of Texas and Miami Dade College, prepare students for professional success, these certificates can equip them with an industry-recognized credential to complement their degree and help make them even more employable at higher wages. These institutions and others across the country can now offer the new advanced certificates to their students. Read more about how to bring the Google Career Certificates to your school, community college or university.

You can learn more about these certificates and how to enroll at grow.google/advancedDA.

Google Data Analytics Professional Certificate!

Discover the world of data analytics with the Google Data Analytics Professional Certificate. Gain valuable skills to launch a successful career in the high-demand field of data analysis.

Enroll Now: https://www.onlinetutorials.org/data-analysis/google-data-analytics-professional-certificate/

Overview of Google Data Analytics Professional Certificate

The Google Data Analytics Professional Certificate is a comprehensive, online program designed to help individuals gain the skills needed to become successful data analysts. This program, developed by Google, teaches the essential skills and tools required for a career in data analysis, including data cleaning, problem-solving, data visualization, and more.

Key Benefits of the Program

  • Developed by industry experts at Google

  • Learn at your own pace with flexible online courses

  • Practical, hands-on experience with industry-relevant projects

  • Access to a global network of fellow learners

  • Job-ready skills upon completion

Course Breakdown

The Google Data Analytics Professional Certificate is comprised of eight courses, each designed to build upon the skills learned in previous courses. Here is an overview of each course:

  1. Foundations: Data, Data, Everywhere: Learn the basics of data analytics, the importance of data-driven decision-making, and the role of a data analyst.

  2. Ask Questions to Make Data-Driven Decisions: Develop the skills to ask effective questions, identify key metrics, and create a solid foundation for your data analysis projects.

  3. Prepare Data for Exploration: Understand the importance of data cleaning and preparation, and learn essential techniques for transforming raw data into usable formats.

  4. Process Data from Dirty to Clean: Master the process of cleaning and organizing data using spreadsheets, SQL, and R programming.

  5. Analyze Data to Answer Questions: Learn how to analyze data using descriptive statistics, hypothesis testing, and regression analysis.

  6. Share Data Through the Art of Visualization: Develop the skills to create compelling data visualizations using tools like Tableau, Data Studio, and R.

  7. Data Analysis with R Programming: Gain a deeper understanding of R programming, including data manipulation, visualization, and statistical analysis.

  8. Google Data Analytics Capstone: Complete a Real-World Data Analysis Project: Apply the skills learned throughout the program in a final capstone project that simulates a real-world data analysis scenario.

Hands-On Experience with Real-World Projects

Throughout the Google Data Analytics Professional Certificate program, you will complete several hands-on projects designed to help you gain practical experience in data analysis. These projects are designed to simulate real-world scenarios, allowing you to apply the skills and tools you’ve learned in a practical setting.

Career Support and Job Opportunities

Upon completion of the Google Data Analytics Professional Certificate, you will have access to a wide range of career support resources, including:

  • Access to Google’s extensive network of employer partners

  • Exclusive job opportunities for program graduates

  • Resume and interview coaching

  • Networking events and webinars

Embrace the Power of Data Analytics in Various Industries

Data analytics is a powerful tool that can be applied across a wide range of industries. As a data analyst, you will have the opportunity to make a significant impact in various sectors, such as healthcare, finance, retail, and technology.

Here are just a few examples of how data analytics can transform industries:

Healthcare

Data analysts in healthcare can use their skills to improve patient outcomes, streamline operations, and reduce costs. By analyzing electronic health records, patient surveys, and other data sources, data analysts can identify trends, monitor the effectiveness of treatments, and even predict potential health risks.

Finance

In the finance industry, data analysts play a crucial role in managing risk, identifying investment opportunities, and monitoring market trends. By analyzing financial data, data analysts can help banks, investment firms, and other financial institutions make informed decisions that maximize returns and minimize risk.

Retail

Data analysts in the retail sector can use their skills to optimize pricing, inventory management, and marketing strategies. By analyzing sales data, customer feedback, and other relevant information, data analysts can help retailers identify trends, target customer segments, and drive overall business growth.

Technology

Data analysts are in high demand in the technology industry, where they can contribute to the development of innovative products and services. By analyzing user data, market trends, and competitor insights, data analysts can help tech companies make data-driven decisions that drive product development and business growth.

Stand Out in the Job Market with Advanced Analytics Skills

The Google Data Analytics Professional Certificate not only prepares you for a career in data analysis but also equips you with advanced skills that will set you apart from other job seekers.

Throughout the program, you’ll learn to work with industry-standard tools and programming languages, such as:

  • SQL for database management and querying

  • R programming for data manipulation and statistical analysis

  • Tableau and Google Data Studio for data visualization

By mastering these tools and techniques, you’ll be able to demonstrate to potential employers that you have the skills needed to succeed in a data-driven world.

Expand Your Professional Network

As a participant in the Google Data Analytics Professional Certificate program, you’ll have the opportunity to connect with like-minded individuals from around the world. Engage in meaningful discussions, collaborate on projects, and share insights and experiences with fellow learners. Building a strong professional network will not only enhance your learning experience but also open doors to new career opportunities.

Invest in Your Future with the Google Data Analytics Professional Certificate

The Google Data Analytics Professional Certificate is an investment in your future. By acquiring the skills and knowledge needed to excel in the field of data analysis, you’ll be well-positioned to secure a rewarding and in-demand career. Don’t wait any longer – enroll in the program today and start building the foundation for a successful career in data analytics.

Enroll in the Google Data Analytics Professional Certificate Today

Embark on your journey to becoming a successful data analyst with the Google Data Analytics Professional Certificate. With a comprehensive curriculum, hands-on projects, and valuable career support, you’ll be well-prepared to launch a rewarding career in the growing field of data analysis. Enroll today and take the first step toward a bright future.

Frequently Asked Questions About Google Data Analytics Professional Certificate

Who is the Google Data Analytics Professional Certificate designed for?

The Google Data Analytics Professional Certificate is designed for individuals who are interested in pursuing a career in data analysis, regardless of their background or experience. The program is suitable for beginners, career-changers, and professionals looking to expand their skill set.

How long does it take to complete the program?

The program is self-paced, allowing you to complete the courses at your own convenience. On average, learners take about six months to complete the program. However, the time required may vary depending on your prior experience and the amount of time you can dedicate to the coursework.

What are the prerequisites for the program?

There are no specific prerequisites for the Google Data Analytics Professional Certificate. The program is designed to be accessible to individuals with no prior experience in data analysis. Basic computer literacy and familiarity with spreadsheets are helpful but not required.

Do I need a background in programming or statistics to enroll in the program?

No, the program is designed for learners with no prior background in programming or statistics. The courses in the program will teach you the necessary skills, including programming in R and using statistical analysis techniques.

What kind of support is available during the program?

Throughout the program, you’ll have access to various resources and support, such as discussion forums, peer feedback, and additional resources to help you understand the course material better. Additionally, the program provides career support, including resume and interview coaching, networking opportunities, and job search assistance.

Can I apply for financial aid or scholarships?

Yes, financial aid and scholarships may be available for eligible learners. You can apply for financial aid during the enrollment process. If you’re approved, the cost of the program may be partially or fully covered, depending on your circumstances.

What is the format of the courses?

The Google Data Analytics Professional Certificate courses are delivered online through the Coursera platform. The courses consist of a mix of video lectures, quizzes, hands-on projects, and peer-reviewed assignments.

Will I receive a certificate upon completion of the program?

Yes, upon successful completion of all the courses in the Google Data Analytics Professional Certificate program, you will receive a digital certificate that you can share with your professional network and potential employers.

Are there any additional resources to help me continue learning after completing the program?

Upon completion of the program, you may wish to explore more advanced courses in data analysis or specialize in a specific area, such as machine learning, artificial intelligence, or big data. There are numerous online resources and courses available to help you continue your learning journey and further develop your skills in data analytics.

Chỉ còn 7 suất cuối trong tháng này, hỗ trợ tư vấn ngoài giờ hành chính (Trị giá 500,000 VND)

Chứng chỉ Google Data Analytics là một trong những chứng chỉ quan trọng trong lĩnh vực phân tích dữ liệu và khoa học dữ liệu. Được cung cấp bởi Google từ năm 2021, chứng chỉ này đã thu hút sự quan tâm của nhiều người mong muốn phát triển sự nghiệp trong lĩnh Data Analytics

Chứng chỉ Google Data Analytics tập trung vào việc sử dụng công cụ và kỹ năng phân tích dữ liệu để đưa ra quyết định kinh doanh thông minh. Nó giúp bạn nắm bắt thông tin cần thiết từ dữ liệu, tạo ra báo cáo thống kê, và đưa ra những dự đoán dựa trên dữ liệu. Điều này giúp doanh nghiệp và tổ chức hiểu rõ hơn về khách hàng của họ, cải thiện dịch vụ, và tối ưu hóa chiến lược kinh doanh.

Việc có chứng chỉ Google Data Analytics mang lại nhiều lợi ích cho cá nhân và doanh nghiệp:

Chứng chỉ Google Data Analytics giúp bạn học cách hiểu và phân tích dữ liệu. Điều này có thể áp dụng trong nhiều lĩnh vực, từ tiếp thị số, quản lý sản phẩm đến tài chính. Việc phân tích dữ liệu giúp bạn tìm ra thông tin quan trọng, xu hướng và cơ hội kinh doanh.

Các công cụ mà Bạn sẽ được học đó là:

Dựa trên việc thu thập và phân tích dữ liệu, bạn có thể tối ưu hóa chiến dịch tiếp thị trực tuyến. Chứng chỉ Google Data Analytics giúp bạn hiểu rõ hơn về hành vi của khách hàng, từ đó tạo ra chiến lược tiếp thị hiệu quả hơn.

Dữ liệu là nguồn thông tin quan trọng để đưa ra quyết định kinh doanh thông minh. Chứng chỉ này giúp bạn học cách sử dụng dữ liệu để đưa ra những quyết định cơ bản hoặc chi tiết về sản phẩm, dịch vụ, và chiến lược kinh doanh.

Chắc chắn rằng nhà tuyển dụng sẽ đánh giá rất cao nếu như bạn có được chứng chỉ này từ Google. Đây chắc chắn sẽ là một lợi thế của Bạn.

Google đã hợp tác với Coursera để tạo ra Chứng chỉ Google Data Analytics. Do đó, để truy cập vào khóa học này, bạn sẽ cần đăng ký thành viên Coursera. Phí đăng ký là 39 USD mỗi tháng. Tổng chi phí sẽ phụ thuộc vào thời gian bạn mất để hoàn thành khóa học. Theo thiết kế của khóa học, thời gian học là 6 tháng.

Tuy nhiên, dựa trên một khảo sát không chính thống và kinh nghiệm cá nhân, hầu hết mọi người thường mất từ 3 đến 4 tháng để hoàn thành khóa học, tức là cũng cần ít nhất 100 USD rồi. Sau khi hoàn thành tất cả 8 khóa học, bạn sẽ không phải trả phí nữa. Điều này rất quan trọng, vì vậy hãy không do dự, vì mỗi sự trì hoãn sẽ khiến bạn tốn thêm tiền.

Trước khi bạn bắt đầu thi chứng chỉ Google Data Analytics, bạn nên có kiến thức cơ bản về dữ liệu và phân tích dữ liệu. Điều này có thể đòi hỏi bạn học qua các khóa học trực tuyến hoặc tài liệu tham khảo.Tại CoderSchool, chúng tôi có khoá học Data Science chỉ trong 6 tháng và cam kết việc làm bằng hợp đồng. Sau khi hoàn thành khóa học, học viên sẽ có đủ kiến thức và kinh nghiệm để ứng tuyển các vị trí về Data Analytics cũng như luyện thi lấy chứng chỉ

Bạn có thể đăng ký thi chứng chỉ Google Data Analytics trên trang web chính thức của Google. Google đã hợp tác với Coursera để tạo ra Chứng chỉ Google Data Analytics Hãy chắc chắn rằng bạn đã đọc và hiểu rõ các yêu cầu và hướng dẫn thi.

Truy cập ngay trang web chính thức của Google về chứng chỉ Google Data Analytics Certificates

Google cung cấp tài liệu ôn tập và các ví dụ thực tế để bạn luyện tập. Hãy dành đủ thời gian để ôn tập và thực hành trước khi thi.Trong lộ trình này, Google sẽ đưa ra lần lượt 8 khoá học để bạn đọc tài liệu, thực hành trước kỳ thi lấy chứng chỉ. Cụ thể:

Khoá 1: Foundation: Data, Data, EverywhereKhoá 2: Ask questions to make Data-Driven decisionsKhoá 3: Preparing Data for explorationKhoá 4: Process Data from dirty to cleanKhoá 5: Analyze data to answer question

Khoá 6: Share Data through the Art of visualizationKhoá 7: Data Analysis R ProgrammingKhoá 8: Google Data Analytics capstone: Complete a case study

Sau khi bạn cảm thấy tự tin, bạn có thể đăng ký kỳ thi lấy chứng chỉ do Google tổ chức online

Chương trình đảm bảo việc làm sau tốt nghiệp

REVIEW CHI TIẾT 8 KHÓA HỌC CỦA CHỨNG CHỈ GOOGLE DATA ANALYTICS

Google Data Analytics Certificate là chứng chỉ giúp bạn xây dựng các kỹ năng thực tế cần thiết để trở thành nhà phân tích Dữ liệu. Cùng MCI tìm hiểu tất tần tật về chứng chỉ này trong bài viết dưới đây.

Nội dung bài viết

  1. Google Data Analytics Certificate là gì

Tháng 03/ 2021, Google cho ra mắt chứng chỉ học trực tuyến về phân tích dữ liệu – Google Data Analytics Professional Certificate. Đây là khóa học học trực tuyến với thời gian học trong vòng 6 tháng. Google Data Analytics Professional Certificate sẽ giúp bạn xây dựng các kỹ năng thực tế cần thiết để trở thành nhà phân tích Dữ liệu. Chương trình đào tạo do các kỹ sư dữ liệu của Google phát triển và được cung cấp thông qua Coursera như một phần của chương trình Google Career Certification.

Sau khi hoàn thành 08 học phần chính, bạn sẽ tích lũy được kiến thức:

  • Nắm vững các nhiệm vụ và trách nhiệm của Data Analyst trong doanh nghiệp.
  • Thành thạo sử dụng các công cụ làm sạch, phân tích và trực quan hóa dữ liệu để phân tích và trình bày dữ liệu
  • Sử dụng ngôn ngữ lập trình R với SQL và Tableau để xử lý dữ liệu
  • Tạo bảng điều khiển để trực quan hóa và trình bày dữ liệu
  1. Tại sao Data Analyst lại chọn chứng chỉ Google Data Analytics ?

Đa số mọi người đều có chung một lý do khi chọn khóa học Google Data Analytics là muốn ứng dụng trong công việc thực tế. Không riêng gì ngành phân tích dữ liệu mà đa số các lĩnh vực hiện nay đều dựa vào số liệu để đánh giá, lập kế hoạch và tìm hướng phát triển cho công việc của mình. Bên cạnh đó, vì độ “hot” của Google cũng chính là một trong những lý do khiến nhiều người chọn học. Một số Data Analyst chia sẻ rằng họ muốn tìm hiểu khóa học của Google dạy như thế nào? Cách Google thu thập dữ liệu ra sao hay công việc chính của nhà phân tích liệu là gì ?

  1. Chi phí chứng chỉ Google Data Analytics có cao không ?

Tổng chi phí để có được Chứng chỉ Google Data Analytics là $312. Tuy nhiên bạn có thể xin Financial Aid để học miễn phí 8 khóa học. Để nhận được Financial Aid, bạn phải cẩn thận trả lời 02 câu hỏi chính:

  • Why are you applying for financial aid?
  • How will this course help you with your goals?

Chị Hạnh Nguyễn – Du học sinh Đức chia sẻ rằng để trả lời tốt 2 câu hỏi này bạn cần đưa ra lý do thuyết phục về mục đích bạn muốn theo đuổi khóa học. Khóa học này đem lại cho bạn những giá trị gì, giúp ích như thế nào cho công việc sau này của bạn. Điều quan trọng hơn cả là bạn phải đảm bảo rằng mình sẽ hoàn thành tốt khóa học cũng như làm bài tập đầy đủ.

  1. Review chi tiết khóa học Google Data Analytics

Chứng chỉ này có tất cả 8 khóa học với 6 giai đoạn trong quá trình phân tích dữ liệu. Quá trình phân tích dữ liệu bao gồm: Ask (Xác định vấn đề), Prepare (Thu thập dữ liệu), Process (Clean dữ liệu), Analyze (Phân tích các dữ liệu đã thu thập) và Share (Trình bày kết quả dữ liệu). Chi tiết 8 khóa học như sau:

Course 1: Foundations: Data, Data, Everywhere!

Ở khóa học này bạn sẽ tìm hiểu những định nghĩa trong lĩnh vực phân tích như data ecosystem, data analyst process,… Ngoài ra, khóa học này sẽ giúp bạn tìm hiểu những các kỹ năng cần thiết của Data Analyst, quy trình phân tích dữ liệu, các công cụ được sử dụng trong quy trình đó,…

Course 2: Asking Question To Make Data- driven Decisions

Ở khóa học thứ 2 bạn sẽ tìm hiểu phương pháp SMART – phương pháp được áp dụng để phân tích rõ yêu cầu của bài toán thông qua các câu hỏi. Phương pháp SMART bao gồm 5 giai đoạn như sau: Specific – Measurable – Action-oriented – Relevant – Time- bound.

Bên cạnh đó, khóa học này cũng hướng dẫn cho bạn 4 tips giúp giao tiếp thành công với đồng nghiệp hoặc đối tác để quá trình làm việc diễn ra thuận lợi hơn.

  1. Khách hàng/ Khán giả/ Người nghe của bạn là ai?
  2. Họ đã nắm được những thông tin gì?
  3. Họ cần biết những thông tin gì?
  4. Làm thế nào để thảo luận với họ những thông tin họ cần biết một cách rõ ràng và dễ hiểu nhất?

Course 3: Preparing Data for Exploration

Với khóa học này bạn sẽ biết cách làm thế nào để phân biệt tính đúng đắn và toàn vẹn của dữ liệu, các cấu trúc của dữ liệu, cách thu thập dữ liệu hiệu quả. Bên cạnh đó, khóa học này cũng tập trung vào các model của data và cách sử dụng công cụ SQL trong Big Query. Bạn cũng học được cách lấy nguồn dữ liệu từ GitHub hay Kaggle để thực hành và nâng cao kỹ năng cho mình.

Course 4: Process Data from Dirty to Clean

Course 4 sẽ tập trung nhiều vào cách làm sạch dữ liệu bằng công cụ SQL. Bên cạnh đó, nội dung của course 4 sẽ cung cấp cho bạn kiến thức về chuẩn hóa và làm sạch dữ liệu. Một số kiến thức về thống kê cũng được đề cập tới như A/B Testing, sample, population,…

Course 5: Analyze Data to Answer Question

Sau khi đã cleaning data ở course 4 thì course 5 sẽ tập trung vào việc phân tích dữ liệu. Ở course này, công cụ SQL sẽ được sử dụng triệt để trong việc khai phá insights từ dữ liệu và xử lý dữ liệu theo yêu cầu bài toán. Một số nội dung chính bao gồm:

  • Sorting data in Spreadsheet and SQL
  • Converting and Formatting data
  • Data aggregation using VLOOKUP and JOINS

Course 6: Share Data through the Art of Visualization

Sau khi đã tìm được câu trả lời cho yêu cầu bài toán, course 6 sẽ cung cấp cho người học kiến thức để trình bày dữ liệu dưới dạng biểu đồ một cách trực quan và dễ hiểu nhất. Khóa học này sẽ sử dụng công cụ Tableau để biểu diễn dữ liệu. Một số người học đánh giá đây là một trong những nội dung hay và hữu ích nhất khóa học. Có rất nhiều kiến thức giá trị giúp áp dụng ngay trong công việc hằng ngày như 3 data storytelling steps, data visualization and communicate data insights,…

Course 7: Data Analysis with R Programming

Và công cụ cuối cùng được đề cập tới trong khóa học này chính là ngôn ngữ R. Người học sẽ tìm hiểu và khám phá các thư viện của R để hỗ trợ làm báo cáo, trực quan dữ liệu hay làm sạch dữ liệu. Bên cạnh đó, bạn sẽ được luyện tập trên Rstudio theo các mức độ từ cơ bản đến nâng cao để củng cố kiến thức của mình.

Course 8: Complete a Capstone Project

Ở chương cuối này sẽ tổng hợp tất cả kiến thức bạn đã được học trong 7 khóa học trên. Và để nhận được chứng chỉ thì bạn phải hoàn thành 2 project của Google:

  • Case study 1: Cylistic Bike- Share
  • Case study 2: Bellabeat smart device

Bạn sẽ xử lý data, phân tích với ngôn ngữ SQL và R, trực quan với Tableau và tổng hợp lại thành một file báo cáo hoàn chỉnh. Ngoài ra, Google cũng hướng dẫn bạn tạo portfolio hoàn chỉnh để hỗ trợ trong quá trình ứng tuyển dễ dàng.

Tổng kết

Bên cạnh những nội dung giá trị trong 08 khóa học trên thì điểm đặc biệt thu hút các Data Analyst học chính là những chia sẻ về cách xây dựng profile Linkedin, portfolio Kaggle; cách viết resume, cách trả lời phỏng vấn. Ngoài ra, để nhận được chứng chỉ Google Data Analytics, bạn phải hoàn thành bài test sau mỗi course. Chính vì vậy, trước khi đăng ký học, bạn phải xác định rõ ràng mục tiêu mình học là gì và mình sẽ sử dụng những kiến thức này như thế nào. Tuy nhiên, nếu vẫn còn phân vân, coursera có cung cấp khóa học thử miễn phí 7 ngày để người học trải nghiệm.

Các khóa học
  • Data Engineer Track Specialized
  • Combo Data Engineering Professional Hot
  • Advanced AWS Cloud Data Engineer Specialized
  • AWS Data Engineer for Beginners Specialized
  • Combo Data Engineering Foundations Specialization Hot
  • Combo Python Level 1 & Level 2 Bestseller
  • Business Intelligence Track Hot
  • Data Analyst with Python Track Bestseller
  • Python Foundation in Data Analytics Bestseller
  • RPA UiPath Nâng Cao: Chiến Thuật Automation Cho Chuyên Gia Specialized
  • RPA UiPath cho Người Mới Bắt Đầu: Thành Thạo Automation Chỉ Trong 1 Ngày Specialized
  • IT Business Analyst Fast Track Bestseller
  • Combo IT Business Analyst Level 1 & Level 2 Bestseller
  • IT Business Analyst for Beginners Bestseller
Đăng ký tư vấn khóa học

*Vui lòng nhập số điện thoại của bạn

*Vui lòng nhập họ tên của bạn

*Vui lòng chọn giới tính

*Vui lòng chọn 1 trường

The Difference Between Data Science & Data Analytics | Google Data Analytics Certificate
The Difference Between Data Science & Data Analytics | Google Data Analytics Certificate

Build projects

One of the most important parts of any resume is the project portfolio. If you’re not sure where to start, I recommend this list of data analytics projects that can help you impress hiring managers and learn practical skills.

Another great place to look is Kaggle, which is a platform that helps data science enthusiasts interact and compete in solving real-life problems. That competitive pressure is excellent to motivate yourself to get your hands dirty with actual data.

Các công cụ mình được học và thực hành

  • Spreadsheets: Phân tích dữ liệu với Excel và Google Sheets
  • SQL (Structured Query Language): Truy vấn và xử lý dữ liệu với SQL
  • Tableau: Trực quan hóa dữ liệu và tạo dashboard
  • R và các thư viện Tidyverse: Xử lý, phân tích và trực quan hóa dữ liệu

Với 4 tools mà Google giảng dạy, mình đã trau dồi được gần như là đầy đủ các technical skills để trở thành một người làm phân tích dữ liệu. Từ việc xử lý data đơn giản trên Excel, truy vấn data trong cơ sở dữ liệu bằng SQL, trực quan hóa với BI tool như Tableau và cả việc dùng 1 programing language như R để phân tích. Chỉ có một trở ngại rằng, so với Power BI và Python thì Tableau và R có vẻ ít phổ biến hơn. Vì thế, sẽ khó cho các bạn nào có định hướng học Power BI và Python.

The Difference Between Data Analytics & Business Intelligence | Google Career Certificates
The Difference Between Data Analytics & Business Intelligence | Google Career Certificates

Những điều ấn tượng

  • Lộ trình các khóa học giúp các bạn chưa có kinh nghiệm tích lũy được khá đầy đủ kiến thức và kĩ năng phục vụ công việc của một Junior Data Analyst. Từ cách đặt vấn đề, phương pháp cho đến các kĩ năng như excel, SQL, Tableau, R, …
  • Giảng viên hướng dẫn ở level director/head của nhiều phòng ban có sử dụng dữ liệu trong công ty Google. 8 courses được dạy bởi 8 người, từ đó giúp mình mở rộng nhiều góc nhìn hơn về “thế giới data”
  • Có nhiều khách mời tham gia chia sẻ, tức ngoài giảng viên chính mình còn thấy nhiều videos phỏng vấn nhiều thành viên khác ở Google về vấn đề ở mỗi courses.

Đối tượng phù hợp:

  • Người mới bắt đầu muốn tìm hiểu về Data Analytics và Data Analyst (entry level): Bởi lẽ Google xây dựng khóa học với những nội dung cơ bản nhằm giúp xây dựng nền tảng cho người chưa có kinh nghiệm.
  • Muốn làm đẹp hồ sơ của mình bằng chứng chỉ của Google.
  • Có thể dành ra 8-10 tiếng/ tuần để học và hoàn thành các bài tập.
7 Best Google Certificates in 2024
7 Best Google Certificates in 2024

Qualify for in-demand jobs in data analytics

Data analysts prepare, process, and analyze data to help inform business decisions. They create visualizations to share their findings with stakeholders and provide recommendations driven by data.

  • Data analyst
  • Junior data analyst
  • Associate data analyst
  • Operations analyst
  • Business systems analyst

Learn more about the certificate

Data Analytics Certificate

Hosted on Coursera, this fully online program provides all the skills you need to find an entry-level job in the field of data analytics, even if you don’t have prior experience.

You’ll learn about:
  • Data types and structures
  • Using data to solve problems
  • How to analyze data
  • Data storytelling with visualizations
  • Using R programming to supercharge your analysis
You’ll learn about:
  • Data types and structures
  • Using data to solve problems
  • How to analyze data
  • Data storytelling with visualizations
  • Using R programming to supercharge your analysis

Certificate curriculum:

  • Foundations: Data, Data, Everywhere
  • Ask Questions to Make Data-Driven Decisions
  • Prepare Data For Exploration
  • Process Data from Dirty to Clean
  • Analyze Data to Answer Questions
  • Share Data Through the Art of Visualization
  • Data Analysis with R Programming
  • Data Analytics Capstone Project: Complete a Case Study
Preview the certificate material

Get on the fast track to in-demand jobs with top employers

Complete a Google Career Certificate to get exclusive access to CareerCircle, which offers free 1-on-1 coaching, interview and career support, and a job board to connect directly with employers, including over 150 companies in the Google Career Certificates Employer Consortium.

Complete online certificate courses, at your own pace and time.

Access career resources like coaching sessions, mock interviews, and a resume builder tool.

Share your resume and get connected with national and local employers.

CONNECT WITH +150 TOP EMPLOYERS, INCLUDING THESE:

Advanced Google Career Certificates

Advanced Google Career Certificates build on the skills from our foundational certificates and provide continued learning opportunities for graduates to go deeper in the field.

Advanced Data Analytics Certificate

Advanced data analysts and data scientists are responsible for collecting, analyzing, and interpreting extremely large amounts of data.

Prepare for jobs such as:
Prepare for jobs such as:

Tools included:

Jupyter Notebook, Python, Tableau

You’ll learn about:

  • Regression analysis
  • Python
  • Translating data
  • Statistics
  • Machine learning

Business Intelligence Certificate

Business intelligence professionals help organizations collect, structure, interpret, and report on business data to help stakeholders make informed decisions.

Prepare for jobs such as:
Prepare for jobs such as:

Tools included:

BigQuery, Tableau, SQL

You’ll learn about:

  • Business intelligence analysis
  • Data modeling
  • ETL process
  • Dashboards and reporting
  • Engaging with stakeholders about data findings

“I really enjoyed the certificate content because it helped to reinforce the foundational knowledge I gained from the Google Data Analytics Certificate, going deeper into the topics I enjoyed like data visualization and communicating with stakeholders, while also introducing new tools and processes. I also found the activities challenging, which allowed me to critically think through the solutions and provide my unique perspective.”

Latoya B., Business Intelligence Certificate

“The certificate built on the skills from the Google Data Analytics Certificate, solidifying those foundations while introducing new concepts and tools to differentiate data analytics from business intelligence. I felt fully immersed into the world of Business Intelligence and look forward to taking the next step in my career.”

Kwame O., Business Intelligence Certificate

“The instructional videos in the Google Advanced Data Analytics Certificate were well-paced and easy to follow. I really enjoyed the instructors, particularly Cassie; her optimism towards data is infectious. She did a great job explaining the roles of different data professionals, especially in differentiating data analysts, data scientists, and business intelligence analysts. She helped me see the breadth of data-related careers.”

Johanna G., Advanced Data Analytics Certificate

“I found the Google Advanced Data Analytics Certificate very engaging and I loved going deep and learning more about the field. This program gave me the confidence that I really know what I am doing in the data analytics field, and now I feel motivated to apply for more data analytics roles.”

Carlos M., Advanced Data Analytics Certificate

Industry Specializations

Industry Specializations build on the skills from our foundational certificates and are developed by partners to provide expertise for jobs in fast-growing industries.

Finance Specialization

Developed by the University of Illinois’ Gies College of Business and hosted on Coursera, this fully online program provides the skills you need to find entry-level jobs in careers involving financial analysis.

Prepare for jobs such as:
Prepare for jobs such as:

You’ll learn about:

  • The importance of adopting a financially analytic mindset
  • Identifying and applying fundamental principles of accounting and finance
  • Measuring and assessing an organization’s financial position and performance
  • Performing basic financial statement analysis
  • Using planning and budgeting to effectively and efficiently allocate resources

Public Sector Specialization

Developed by the University of Michigan and hosted on Coursera, this fully online program provides the skills you need to find entry-level data analyst jobs in the public sector.

Prepare for jobs such as:
Prepare for jobs such as:

You’ll learn about:

  • The role of data and data analytics in the core functions of public administration and in the formation and evaluation of public policy
  • Applying data manipulation and visualization techniques to a wide range of public sector data
  • Building technical skills using R, RStudio, and the tidyverse libraries of dplyr and ggplot
  • Identifying and addressing common political and ethical challenges in public sector data analysis, interpretation, and communication

Reviewing Course 1: Foundations: Data, Data, Everywhere

This course is where you get your feet wet with the world of data analysis. It’s 21 hours of work, which Google further divides into five sections.

By the end of this course, you’ll understand what data analytics is. You’ll also be familiar with the day-to-day tasks and tools data analysis use.

You can expect to take six graded multiple-choice exams in this section to prove your mastery.

Start Your Career as a Data Analyst [Google Analytics Certificate Review]
Start Your Career as a Data Analyst [Google Analytics Certificate Review]

Frequently asked questions

Data is a group of facts that can take many different forms, such as numbers, pictures, words, videos, observations, and more. We use and create data every day, like when we stream a show or song or post on social media.

Data analytics is the collection, transformation, and organization of these facts to draw conclusions, make predictions, and drive informed decision-making.

A data analyst prepares, processes, and analyzes data to help inform business decisions. Data analysts create visualizations to share their findings with stakeholders and provide recommendations driven by data.

A data analyst learns how to work with data to solve problems. Data analyst skills include the ability to…

  • Collect, clean, and organize data for analysis
  • Conduct data analysis and calculations
  • Visualize and present data findings
  • Work with spreadsheets, programming languages, and data visualization platforms

A data analyst works with data to solve business problems using tools like SQL, R or other programming languages, data visualization software, and statistical analysis. A data scientist uses more advanced data techniques to make predictions about the future. They may come up with the questions their team should be asking and determine how to use data to answer them.

Companies must continually adjust their products, services, tools, and business strategies to meet consumer preferences and demand and to react to emerging trends. Because of this, a data analyst career is an in-demand option with competitive pay.

Data analysts make sense of data and numbers to help organizations make better business decisions. They prepare, process, analyze, and visualize data, discovering patterns and trends and answering key questions along the way. Their work empowers their wider team to make better business decisions.

The Google Data Analytics Certificate is for anyone with a curiosity about how things work. No prior experience or specific tool is required. All you need is high-school-level math.

Enrolling in the Google Data Analytics Certificate will teach you the skill set required to become a junior or associate data analyst. Data analysts know how to ask the right question; prepare, process, and analyze data for key insights; effectively share their findings with stakeholders; and provide data-driven recommendations for thoughtful action.

You’ll learn these job-ready skills in our certificate program through interactive content (discussion prompts, quizzes, and activities) in under six months, with under 10 hours of flexible study a week.* Along the way, you’ll work through a curriculum designed with input from top employers and industry leaders, like Tableau, Accenture, and Deloitte. You’ll even have the opportunity to complete a case study that you can share with potential employers to showcase your new skill set.

After you’ve graduated from the program, you’ll have access to career resources and the opportunity to connect directly with over 150 employers who are hiring for open entry-level roles in data analytics.

The data analytics courses offered in the Google Data Analytics Certificate are…

  • Foundations: Data, Data, Everywhere
  • Ask Questions to Make Data-Driven Decisions
  • Prepare Data For Exploration
  • Process Data from Dirty to Clean
  • Analyze Data to Answer Questions
  • Share Data Through the Art of Visualization
  • Data Analysis with R Programming
  • Data Analytics Capstone Project: Complete a Case Study

The data analysis tools and platforms included in the certificate curriculum are spreadsheets (Google Sheets or Microsoft Excel), SQL, presentation tools (Powerpoint or Google Slides), Tableau, RStudio, and Kaggle.

This data analytics program teaches the open-source programming language R. R is a great starting point for foundational data analysis, and offers helpful packages for beginners to apply to their projects. We do not cover Python in the curriculum but encourage learners to explore Python after completion if they’d like to continue their learning journey.

Yes! The Google Data Analytics Certificate courses are 100-percent online learning. Start right away and learn on your own schedule.

The Google Data Analytics Certificate can be completed in three months working approximately 20 hours per week, or in six months working 10 hours per week. To finish the eight courses that make up the certificate, around 240 hours total are needed.*

The Google Data Analytics, Advanced Data Analytics, and Business Intelligence certificates are available globally in English on Coursera, an online learning platform that offers access to online courses. Google has worked with Coursera to make Google Career Certificates available on their platform.

The Google Career Certificates Employer Consortium consists of over 150 U.S. companies like Target, Infosys, Verizon, Wells Fargo and Google. These companies span multiple sectors and are committed to considering Google Career Certificate graduates for entry-level jobs. Upon completion of the Google Data Analytics Certificate, you will gain access to an exclusive job platform where you can easily apply to opportunities from employers with open jobs.

Employers interested in joining the Google Career Certificates Employer Consortium can find more information at grow.google/employers.

After you complete the Google Data Analytics Certificate, you will have access to expert training and hands-on projects designed to prepare you for a job in data analytics, including a resume-building tool, mock interviews, and career networking support designed to help you with your job search.

You’ll also be able to connect with over 150 US employers in the hiring consortium who are accepting candidates who have completed the Google Data Analytics Certificate.

The Google Data Analytics Certificate was designed and built by subject-matter experts and senior practitioners at Google. This certificate has been created to equip learners with theoretical and practical knowledge and real-life problem-solving skills to be successful in an entry-level job.

The Google Data Analytics Certificate costs $49 per month on Coursera after an initial 7-day free trial period. All Google Career Certificates are completely self-paced. At about 10 hours of study per week, many learners complete a Google Career Certificate in three to six months.

The Google Advanced Data Analytics Certificate costs $49 per month on Coursera after an initial 7-day free trial period. All Google Career Certificates are completely self-paced. At about 10 hours of study per week, many learners complete a Google Career Certificate in three to six months.

The Google Business Intelligence Certificate costs $49 per month on Coursera after an initial 7-day free trial period. All Google Career Certificates are completely self-paced. At about 10 hours of study per week, many learners complete a Google Career Certificate in three to six months.

Example: If you are interested in financial assistance for the Google Data Analytics Certificate, you may be eligible for financial aid via Coursera through the course page. Recipients of financial aid will have full access to course content and assignments required to earn a certificate. To apply, go to the certificate course page on Coursera and click the “Financial aid available” link next to the “Enroll” button.

Google has also funded 100,000 scholarships for Google Career Certificates, which will be distributed by Grow with Google partners and Google.org grantees like Merit America, Per Scholas, NPower, Goodwill, Futuro Health, Generation USA, UnidosUS, LULAC and Hispanic Federation. These funds will create a lasting impact in helping people land high-quality jobs in high-growth fields.

Those planning to attend a degree program can utilize ACE®️ recommendations, the industry standard for translating workplace learning to college credit. Learners can earn a recommendation of 12 college credits for completing the Data Analytics Certificate, the equivalent of 4 college courses at the bachelor’s degree level. This aims to help open up additional pathways to learners who are interested in higher education, and prepare them for entry-level jobs.

To share proof of completion with schools, certificate graduates will receive an email prompting them to claim their Credly badge, which contains the ACE®️ credit recommendation. Once claimed, they will receive a competency-based transcript that signifies the credit recommendation, which can be shared directly with a school from the Credly platform. Please note that the decision to accept specific credit recommendations is up to each institution and is not guaranteed.

The Google Data Analytics Certificate is currently available in English and we are working to bring this certificate in additional languages. Please check back here for updates.

Review chi tiết chứng chỉ Google Data Analytics

Hi mọi người, chuyện là Maz đã hoàn thành xong 8 khóa học trong lộ trình của chứng chỉ Google Data Analytics hồi tháng 2 vừa qua. Nhưng vì mải mê vui chơi sau khi có chứng chỉ, nên đến tận bây giờ mình mới có thể viết review và chia sẻ cho mọi người được 🙂

Nội dung bài viết lần này gồm có:

  1. Google Data Analytics là gì?
  2. 3 lý do mình muốn chinh phục chứng chỉ này
  3. Mình đã học được gì trong lộ trình 8 courses của Google
  4. Đánh giá của mình về chứng chỉ Google Data Analytics
  5. Lời khuyên dành cho bạn

Google Data Analytics Certificate là gì?

Vào tháng 3 năm 2021 Google đã chính thức ra mắt một chương trình đào tạo trong lĩnh vực Data là Data Analytics Professional Certificates. Cụ thể nội dung và mục tiêu của chương trình này là trang bị kiến thức cũng như kĩ năng cho những ai muốn bắt đầu trở thành một Data Analyst.

Với định nghĩa về Data Analytics từ Google:

“Data analysis is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making. Data analytics in the simplest terms is the science of data. It’s a very broad concept that encompasses everything from the job of managing and using data to the tools and methods that data workers use each and every day”

Có hai khái niệm được Google đề cập trong nội dung trên. Đầu tiên là “Data analysis”, nó khá giống với quá trình phân tích dữ liệu mà mình từng chia sẻ trong các bài viết trước. Bắt đầu từ việc thu thập, tổ chức lưu trữ cho đến chuyển hóa, phân tích và đưa ra các đề xuất. ‘”Data analytics” là một thuật ngữ rộng hơn khi nó đề cập đến bất kể một công việc nào cần sử dụng dữ liệu đến các công cụ phân tích trong vận hành hằng ngày.

Từ đó, định hướng mà Google mang tới trong khóa học của mình là trang bị cho học viên kiến thức và cả kĩ năng trong lĩnh vực data analytics.

Lý do khiến mình muốn chinh phục chứng chỉ Google Data Analytics

  • Đầu tiên, mình bị ấn tượng bởi độ “Hot” bởi chứng chỉ này do Google cung cấp, một công ty siêu to khổng lồ và có danh tiếng không thể chối từ. Ngoài ra, nếu bạn lên internet và tìm kiếm các khóa học dành cho Data Analytics thì Google Data Analytics Certificate luôn xuất hiện ở top đầu và được rất nhiều người khuyến nghị.
  • Thứ hai, mình rất muốn biết và muốn xem ở ngoài kia, thế giới đang bàn luận, định nghĩa về Data Analyst như thế nào. Đặc biệt là ở Google, một công ty công nghệ lớn và danh tiếng thì họ đang sử dụng data ra sao, công việc của người làm phân tích dữ liệu như thế nào.
  • Cuối cùng, mình biết ở Việt Nam có rất nhiều bạn trẻ đang bắt đầu định hướng tham gia và lĩnh vực này. Vì thế việc học một chứng chỉ trong ngành là cần thiết với các bạn. Mọi người hay hỏi Maz nên chọn khóa học nào đây? Để tư vấn được cho các bạn thì mình cũng muốn học qua để có thể chia sẻ thực tế hơn thay vì là ngồi đọc thông tin giới thiệu đơn giản của từng khóa.

Mình học được gì trong lộ trình của Google Data Analytics Certificate

Reviewing Course 6: Share Data Through the Art of Visualization

Visualization is critical for any data analyst. When you give stakeholders plain numbers, it’s tough for non-experts to grasp the importance. But a nice graph or chart? Now they get it. That’s what this course is about.

This course focuses more on Tableau, which is a data visualization platform. Tableau is a useful skill to have in any case, so don’t skip this course.

You’ll walk through: how to visualize data generally, how to create data visualizations with Tableau specifically, how to use data to tell a story, and how to develop slideshows and presentations.

Is the Google Data Analytics Certificate WORTH IT??????
Is the Google Data Analytics Certificate WORTH IT??????

Reviewing Course 3: Prepare Data For Exploration

Ready to get started coding? This is the course for you. After two courses of mostly theory, now you’ll start to learn SQL and spreadsheets.

Over 21 hours, you’ll learn about data types and structures, how to use SQL to extract data, how to use a spreadsheet to both analyze and present findings, and gain familiarity with tools like databases.

You’ll still get some theory work: you’ll learn about bias, ethics, credibility, and access. You’ll also get a taste of infosec – this course covers how to organize and protect data.

You’ll take five multiple-choice quizzes to demonstrate your understanding.

Reviewing Course 4: Process Data from Dirty to Clean

College didn’t prepare me for this, so I’m glad the Google Data Analytics Certification does: data doesn’t arrive at your computer fully clean and ready to analyze. A lot of data analysis is punching the data into shape.

This course is all about how to use spreadsheets and SQL to clean and organize the data you’ll be analyzing later. Over 23 hours, four quizzes, and a hands-on course challenge exercise, you’ll learn how to clean data from start to finish. The course will walk you through some hands-on examples, so it should be fairly straightforward.

Google ADVANCED Data Analytics Certificate …Worth it?
Google ADVANCED Data Analytics Certificate …Worth it?

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