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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 at your own pace, no degree or experience required. Enroll today and get access to Google AI Essentials at no cost. Offer ends 11/30*

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What you'll learn
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Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job
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Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau)
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Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming
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Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms
Skills you'll gain
- Data Analysis
- Creating case studies
- Data Visualization
- Data Cleansing
- Developing a portfolio
- Data Collection
- Spreadsheet
- Metadata
- SQL
- Data Ethics
- Data Aggregation
- Data Calculations
- R Markdown
- R Programming
- Rstudio
- Tableau Software
- Presentation
- Data Integrity
- Sample Size Determination
- Decision-Making
- Problem Solving
- Questioning
Details to know

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Prepare for a career in Data Analytics
- Receive professional-level training from Google
- Demonstrate your proficiency in portfolio-ready projects
- Earn an employer-recognized certificate from Google
- Qualify for in-demand job titles: Data Analyst, Junior Data Analyst, Associate Data Analyst

Get exclusive access to career resources upon completion
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Resume review
Improve your resume and LinkedIn with personalized feedback
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Interview prep
Practice your skills with interactive tools and mock interviews
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Career support
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Connect with 150+ U.S. hiring organizations in Google’s Employer Consortium
Connect with 150+ U.S. hiring organizations in Google’s Employer Consortium
¹Lightcast™ US Job Postings (median salary with 0-5 years experience), Jan. 1, 2022 - Dec. 31, 2022). ²Positive career outcome (e.g., new job, promotion, or raise) within six months of completion. Based on program graduate survey, United States 2022. *Claim this limited-time offer by November 30, 11:59 PM PT. Valid for new Google Professional Certificate purchase only, limited to one per person. Offer only valid on English and Spanish certificate versions. Cannot be used in conjunction with other offers. Coursera reserves the right to modify or cancel the promotion at any time. Free enrollment into Google AI Essentials triggered upon purchase of Google Professional Certificate subscription. Access to Google AI Essentials is 180 days from purchase date of Google Professional Certificate. Coursera reserves the right to revoke Google AI Essentials access if the learner does not pay for Google Professional Certificate. Offer value may differ based on location. Terms for promotional offers apply.

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Professional Certificate - 8 course series
Foundations: Data, Data, Everywhere
What you'll learn
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Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems.
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Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking.
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Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics.
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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
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Explain how the problem-solving road map applies to typical analysis scenarios.
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Discuss the use of data in the decision-making process.
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Demonstrate the use of spreadsheets to complete basic tasks of the data analyst including entering and organizing data.
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Describe the key ideas associated with structured thinking.
Skills you'll gain
Prepare Data for Exploration
What you'll learn
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Explain what factors to consider when making decisions about data collection.
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Discuss the difference between biased and unbiased data.
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Describe databases with references to their functions and components.
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Describe best practices for organizing data.
Skills you'll gain
Process Data from Dirty to Clean
What you'll learn
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Define different types of data integrity and identify risks to data integrity.
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Apply basic SQL functions to clean string variables in a database.
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Develop basic SQL queries for use on databases.
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Describe the process of verifying data cleaning results.
Skills you'll gain
Analyze Data to Answer Questions
What you'll learn
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Discuss the importance of organizing your data before analysis by using sorts and filters.
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Convert and format data.
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Apply the use of functions and syntax to create SQL queries to combine data from multiple database tables.
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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
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Describe the use of data visualizations to talk about data and the results of data analysis.
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Identify Tableau as a data visualization tool and understand its uses.
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Explain what data driven stories are including reference to their importance and their attributes.
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Explain principles and practices associated with effective presentations.
Skills you'll gain
Data Analysis with R Programming
What you'll learn
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Describe the R programming language and its programming environment.
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Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors.
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Describe the options for generating visualizations in R.
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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
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Differentiate between a capstone project, case study, and a portfolio.
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Identify the key features and attributes of a completed case study.
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Apply the practices and procedures associated with the data analysis process to a given set of data.
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Discuss the use of case studies/portfolios when communicating with recruiters and potential employers.
Skills you'll gain
Instructor

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Get a head start on your degree
When you complete this Professional Certificate, you can earn college credit if you are admitted and enroll in one of the following online degree programs.¹

Degree credit eligible
This Professional Certificate has ACE® recommendation. It is eligible for college credit at participating U.S. colleges and universities. Note: The decision to accept specific credit recommendations is up to each institution.
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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.