Program profile · official sources
Google Data Analytics Professional Certificate
The Google Data Analytics Professional Certificate by Google on Coursera is a beginner-level program designed to prepare individuals for entry-level roles in data analytics. The curriculum covers data cleaning, analysis, and visualization using tools such as spreadsheets, SQL, Tableau, and Python. Students learn to process data, create dashboards, and present findings. The self-paced online program features an estimated completion time of less than 6 months at under 10 hours a week, with over 180 hours of instruction and hundreds of practice-based assessments. Earning the shareable provider-issued course certificate requires completing the 9 course series and a capstone project. As captured on 3 October 2026, the course is taught in English.
Facts checked 3 Oct 2026
- Price
- Google Data Analytics Professional Certificate : USD 49 / month regular; As shown in the United States on 3 October 2026.
- Time
- 6 months at 10 hours a week
- Level
- Beginner level
- Credential
- Provider-issued course certificate
Add to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
- Prerequisites
- Required: None. No degree or experience required. Recommended: None.
- Format
- Online, flexible schedule, learn at your own pace
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
- Price : https://www.coursera.org/professional-certificates/google-data-analytics
- Duration : https://www.coursera.org/professional-certificates/google-data-analytics
- Official program page : https://www.coursera.org/professional-certificates/google-data-analytics
- Provider subscription terms : https://www.coursera.org/professional-certificates/google-data-analytics
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What’s covered
- 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
- Introduction to Data Analysis Using Python
- Google Data Analytics Capstone: Complete a Case Study
- Accelerate Your Job Search with AI
Prerequisites: Required: None. No degree or experience required. Recommended: None.
What you actually do
- Foundations: Data, Data, Everywhere : 13 hours; Course 1 · Source
- Ask Questions to Make Data-Driven Decisions : 15 hours; Course 2 · Source
- Prepare Data for Exploration : 19 hours; Course 3 · Source
- Process Data from Dirty to Clean : 16 hours; Course 4 · Source
- Analyze Data to Answer Questions : 26 hours; Course 5 · Source
- Share Data Through the Art of Visualization : 19 hours; Course 6 · Source
- Introduction to Data Analysis Using Python : 27 hours; Course 7 · Source
- Google Data Analytics Capstone: Complete a Case Study : 11 hours; Course 8 · Source
- Accelerate Your Job Search with AI : 6 hours; Course 9 · Source
What the credential is
- Credential type
- Provider-issued course certificate · www.coursera.org / google-data-analytics
- Credential
- Shareable certificate · www.coursera.org / google-data-analytics
- Issuer
- Google · www.coursera.org / google-data-analytics
- Sharing
- Add to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. · www.coursera.org / google-data-analytics
- Exam requirement
- The page describes course completion to earn a certificate; it does not explicitly establish whether a final exam is required beyond practice-based assessments. · www.coursera.org / google-data-analytics
Who should skip it
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