Google
Google Data Analytics Professional Certificate
Google

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. Additionally, when you enroll today, you’ll get access to Google AI Essentials at no cost. Offer ends 12/5*

Google Career Certificates

Top Instructor

2,463,007 already enrolled

Included with Coursera Plus

Earn a career credential that demonstrates your expertise
4.8

(146,697 reviews)

Beginner level

Recommended experience

Flexible schedule
6 months, 10 hours a week
Learn at your own pace
Build toward a degree
Earn a career credential that demonstrates your expertise
4.8

(146,697 reviews)

Beginner level

Recommended experience

Flexible schedule
6 months, 10 hours a week
Learn at your own pace
Build toward a degree

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

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

See how employees at top companies are mastering in-demand skills

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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
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$92,000+
median U.S. salary for Data Analytics
¹
483,000+
U.S. job openings in Data Analytics
¹
75%
of certificate graduates report positive career outcome
²

Get exclusive access to career resources upon completion

  • Resume review

    Improve your resume and LinkedIn with personalized feedback

  • Interview prep

    Practice your skills with interactive tools and mock interviews

  • Career support

    Plan your career move with Coursera’s job search guide

Connect with 150+ U.S. hiring organizations in Google’s Employer Consortium

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Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

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Professional Certificate - 8 course series

Foundations: Data, Data, Everywhere

Course 117 hours4.8 (108,005 ratings)

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

Category: Spreadsheet
Category: Data Integrity
Category: Sample Size Determination
Category: SQL
Category: Data Cleansing

Ask Questions to Make Data-Driven Decisions

Course 220 hours4.7 (32,567 ratings)

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

Category: Data Analysis
Category: Creating case studies
Category: Data Visualization
Category: Data Cleansing
Category: Developing a portfolio

Prepare Data for Exploration

Course 324 hours4.8 (20,976 ratings)

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

Category: Decision-Making
Category: Spreadsheet
Category: Data Analysis
Category: Problem Solving
Category: Questioning

Process Data from Dirty to Clean

Course 426 hours4.8 (17,095 ratings)

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

Category: Data Analysis
Category: R Markdown
Category: Data Visualization
Category: R Programming
Category: Rstudio

Analyze Data to Answer Questions

Course 533 hours4.6 (11,266 ratings)

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

Category: Data Aggregation
Category: Spreadsheet
Category: Data Analysis
Category: Data Calculations
Category: SQL

Share Data Through the Art of Visualization

Course 624 hours4.6 (9,105 ratings)

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

Category: Data Collection
Category: Spreadsheet
Category: Metadata
Category: SQL
Category: Data Ethics

Data Analysis with R Programming

Course 733 hours4.8 (10,602 ratings)

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

Category: Data Analysis
Category: Tableau Software
Category: Data Visualization
Category: Presentation

Google Data Analytics Capstone: Complete a Case Study

Course 813 hours4.8 (16,053 ratings)

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

Category: Spreadsheet
Category: Data Analysis
Category: SQL
Category: Data Visualization
Category: Data Cleansing

Instructor

Google Career Certificates

Top Instructor

Google
325 Courses11,161,537 learners

Offered by

Google

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

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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.

Why people choose Coursera for their career

New to Data Analysis? Start here.

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Frequently asked questions

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.