Google Data Analytics Professional Certificate credential artwork

Google Data Analytics Professional Certificate Program Guide

Validates practical skills in data analysis, using spreadsheets, SQL, Tableau and Python to prepare and visualize data.

Work through 8 courses in order, from asking good questions to preparing, cleaning, analyzing and visualizing data, then Python and a capstone case study. Complete the graded quizzes and activities and treat the capstone as a portfolio piece. There is no final exam.

Understand the program

Courses

Rows are courses with Coursera's hour estimates, plus one optional AI course.

Course 1Foundations: Data, Data, Everywhere
  1. Introducing data analytics and analytical thinking
  2. The wonderful world of data
  3. Set up your data analytics toolbox
  4. Become a fair and impactful data professional
Course 2Ask Questions to Make Data-Driven Decisions
  1. Ask effective questions
  2. Make data-driven decisions
  3. Spreadsheet magic
  4. Always remember the stakeholder

Example scenario: A café owner asks why sales dropped last month. Which three questions would you ask before looking at any data?

Course 3Prepare Data for Exploration
  1. Data types and structures
  2. Data responsibility
  3. Database essentials
  4. Organize and protect data
  5. Engage in the data community
Course 4Process Data from Dirty to Clean
  1. The importance of integrity
  2. Clean data for more accurate insights
  3. Data cleaning with SQL
  4. Verify and report on cleaning results
  5. Add data to your resume
  6. Course wrap-up

Example scenario: A customer list has the same person entered three times with different spellings. How would you find and merge the duplicates?

Course 5Analyze Data to Answer Questions
  1. Organize data for more effective analysis
  2. Format and adjust data
  3. Aggregate data for analysis
  4. Perform data calculations
Course 6Share Data Through the Art of Visualization
  1. Visualize data
  2. Create data visualizations with Tableau
  3. Craft data stories
  4. Develop presentations and slideshows
Course 7Introduction to Data Analysis Using Python
  1. Hello, Python!
  2. Functions and conditional statements
  3. Loops and strings
  4. Data structures in Python
Course 8Google Data Analytics Capstone: Complete a Case Study
  1. Learn about capstone basics
  2. Optional: Build your portfolio
  3. Optional: Use your portfolio
  4. Put your certificate to work
Course 9Accelerate Your Job Search with AI
  • Career exploration: Using AI tools to match your skills to roles.
  • Applications: Building a resume and tracking applications with Gemini and Google Sheets.

Coursera program page

Format

Courses
8 + 1 optional
Duration
146h
Assessment
Quizzes and a capstone
Delivery
Online, self-paced
Languages
English

Enrolment

Anyone can enroll on Coursera, which offers a 7-day free trial and financial aid. Google Career Skills offers the same certificates for $49 a month.

Enroll on Coursera

Make a study plan

Coursera's course estimates add up to 152 hours. Google suggests 3 months at 20 hours a week or 6 months at 10.

Most candidates spend 120–200 hours. Plan for the low end if you already work with spreadsheets and SQL; allow more time if you are new to data work, to Python and to the capstone.

16 weeksto be ready
  1. 1Understand the programLook through the courses and how the program is graded.8 h
  2. 3Learn the core conceptsWork through the courses in order and complete the graded work.136 h
  3. 4Finish the programFinish the remaining assessments and claim your certificate.8 h

Learn the core concepts

The program is the course. Keep practising SQL and build extra projects alongside it.

Best official programGoogle Data Analytics Professional CertificateGoogle · $49/month · US and Canada, 7-day free trialBest multi-certificate planGoogle Career Certificates subscriptionGoogle · $49/month · cancel anytime, 7-day free trialBest for many programsCoursera PlusCoursera · $59/month · or $399/year
See all 4 Google Data Analytics courses →

Make the capstone your own. Choose your own data set in the capstone if you can, and publish the finished case study where employers can see it.

Finish the program

Complete the coursework on your own schedule.

  • Finish all 8 required courses, including the capstone case study. The AI course is optional.
  • Retry any quiz or activity you have not passed.
  • Download your certificate and claim the Credly badge, which carries the ACE recommendation of up to 12 college credits. The credit was assessed on the earlier R version, so check with your school.
  • Cancel your subscription and the free Google AI Pro offer if you do not want to keep paying. Google AI Pro renews at $19.99 a month.

Google badge criteria

Advice from learners