Google Data Analytics Certificate
Whether you’re just getting started or want to take the next step in the high-growth field of data analytics, a professional data analytics certificate from Google can help you gain in-demand skills. You’ll learn R programming, SQL, Python, and Tableau — and discover how to effectively utilize AI in data analytics.
- 100% remote, online learning
- Access to over 150 employers
- Hands-on, practice-based training

Get a job in data analytics, with help from Google
Learn the foundations of data analytics, and get the job-ready skills you need to kick start your career in a fast-growing field.
$95,000+
median salary in data analytics (0-5 years experience)1
251,000
open jobs in data analytics1
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 flexible program provides all the skills you need to get your data analytics certificate online and 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
- Using AI to boost productivity
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NOW FEATURING AI TRAINING
Harness the power of AI in data analytics
Learn how to use AI to:
- Help with data cleaning and structuring
- Build formulas and manipulate complex data sets
- Identify questions to ask and prepare for data analysis
- Come up with ideas for data visualizations
- Help with an R script to automate loading data from various sources
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.
Already completed the Google Data Analytics Certificate?
If you’ve completed the Google Data Analytics Certificate or have equivalent experience, take the next step with one of Google’s advanced certificates in data analytics. With the Google Advanced Data Analytics Certificate you’ll learn statistical analysis, Python, regression models, and machine learning in less than six months. With the Google Business Intelligence Certificate you’ll learn data modeling, data visualization, dashboarding, and reporting in less than two months.
Already completed the Google Data Analytics Certificate?
If you’ve completed the Google Data Analytics Certificate or have equivalent experience, take the next step with one of Google’s advanced certificates in data analytics. With the Google Advanced Data Analytics Certificate you’ll learn statistical analysis, Python, regression models, and machine learning in less than six months. With the Google Business Intelligence Certificate you’ll learn data modeling, data visualization, dashboarding, and reporting in less than two months.
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:
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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:
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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.
The Google Data Analytics Certificate features practical training and hands-on activities to help you leverage AI for data analytics. Learn how to use AI to help with ideas for data visualization, data cleaning, and data structuring directly from Google experts.