


Google Data Analytics Professional Certificate
Get on the fast track to a career in Data Analytics. In this certificate program, you’ll learn in-demand skills, and get AI training from Google experts. Learn at your own pace, no degree or experience required.

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Beginner level
No degree or prior experience required
What you'll learn
Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job
Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau)
Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming
Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms
Skills you'll gain
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May 2025
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Professional Certificate - 9 course series

Foundations: Data, Data, Everywhere
What you'll learn
Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems.
Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking.
Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics.
Describe the role of a data analyst with specific reference to jobs.
Skills you'll gain

Ask Questions to Make Data-Driven Decisions
What you'll learn
Explain how the problem-solving road map applies to typical analysis scenarios.
Discuss the use of data in the decision-making process.
Demonstrate the use of spreadsheets to complete basic tasks of the data analyst including entering and organizing data.
Describe the key ideas associated with structured thinking.
Skills you'll gain

Prepare Data for Exploration
What you'll learn
Explain what factors to consider when making decisions about data collection.
Discuss the difference between biased and unbiased data.
Describe databases with references to their functions and components.
Describe best practices for organizing data.
Skills you'll gain

Process Data from Dirty to Clean
What you'll learn
Define different types of data integrity and identify risks to data integrity.
Apply basic SQL functions to clean string variables in a database.
Develop basic SQL queries for use on databases.
Describe the process of verifying data cleaning results.
Skills you'll gain

Analyze Data to Answer Questions
What you'll learn
Discuss the importance of organizing your data before analysis by using sorts and filters.
Convert and format data.
Apply the use of functions and syntax to create SQL queries to combine data from multiple database tables.
Describe the use of functions to conduct basic calculations on data in spreadsheets.
Skills you'll gain

Share Data Through the Art of Visualization
What you'll learn
Describe the use of data visualizations to talk about data and the results of data analysis.
Identify Tableau as a data visualization tool and understand its uses.
Explain what data driven stories are including reference to their importance and their attributes.
Explain principles and practices associated with effective presentations.
Skills you'll gain

Data Analysis with R Programming
What you'll learn
Describe the R programming language and its programming environment.
Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors.
Describe the options for generating visualizations in R.
Demonstrate an understanding of the basic formatting in R Markdown to create structure and emphasize content.
Skills you'll gain

Google Data Analytics Capstone: Complete a Case Study
What you'll learn
Identify the key features and attributes of a completed case study.
Apply the practices and procedures associated with the data analysis process to a given set of data.
Discuss the use of case studies/portfolios when communicating with recruiters and potential employers.
Gain a competitive edge by learning AI skills from Google experts.
- Boost your data analytics skills with AI
- Clean and prepare data with help from AI
- Organize data and build formulas using AI
- Use AI to help you ask more effective questions
- Create engaging data visualizations with AI
- Improve your R code with help from AI
Skills you'll gain

Accelerate Your Job Search with AI
What you'll learn
Uncover your skills and explore new career possibilities, with support from tools like Career Dreamer.
Keep your applications organized with Google Sheets.
Build a stand out resume and a step-by-step job search plan—with help from Gemini.
Prepare for interviews and practice responding to questions using NotebookLM and Gemini Live.
Skills you'll gain
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Build toward a degree
When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹
Build toward a degree
When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹
University of Leeds
MSc Data Science (Statistics)
Degree · 24 - 48 months
Ball State University
Master of Science in Computer Science
Degree · 24 months
Illinois Tech
Bachelor of Information Technology
Degree
O.P. Jindal Global University
Bachelor of Science in Psychology
Degree · 3-6 years
University of North Texas
Bachelor of Applied Arts and Sciences
Degree · 15+ hours of study/wk per course
O.P. Jindal Global University
MBA in Business Analytics
Degree · 12 - 24 months
Heriot-Watt University
MSc Computer Science
Degree · 18 months - 8 years
O.P. Jindal Global University
M.A. in Public Policy
Degree · 24 - 36 months
Illinois Tech
Master of Business Administration
Degree · 12-24 months
Illinois Tech
Master of Data Science
Degree · 12-15 months
¹Successful application and enrollment are required. Eligibility requirements apply. Each institution determines the number of credits recognized by completing this content that may count towards degree requirements, considering any existing credits you may have. Click on a specific course for more information.
Instructor

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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. Data analytics is the collection, transformation, and organization of these facts in order to draw conclusions, make predictions, and drive informed decision making. Companies need data analysts to sort through this data to help make decisions about their products, services or business strategies.
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.
Organizations of all kinds, in industries as varied as entertainment, finance, health care, tech, and more, need data analysts to help them improve their processes and launch new products.
More questions
Financial aid available,
¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (7/1/2024 - 7/1/2025)² Positive career outcome (e.g., new job, promotion, or raise) within six months of completion. Based on program graduate survey, United States 2022.