Independent study resources
Keep your study plan in one place with 19 focused articles, a free 25-question quiz, and a 242-page downloadable guide covering SQL, spreadsheets, visualization, portfolio work, and career preparation.
Inside the site
Start with the right resource
Use the free material to identify gaps, then choose the depth that matches your timeline.
Build context on cost, course structure, SQL, spreadsheets, portfolios, interviews, and career paths.
Explore →Test core concepts and see every explanation immediately—no email required.
Explore →Download the 242-page guide with chapter notes, cheat sheets, templates, and 120 multiple-choice questions.
Explore →Start here
Certificate Overview · 7 min read
A current 2026 guide to the Google Data Analytics Professional Certificate: nine-course Coursera structure, cost, time, tools, capstone, and career limits.
Read article →Cost & Value · 6 min read
The Google Data Analytics Certificate costs $49 per month in the U.S. and Canada. Compare realistic totals, Coursera Plus, financial aid, and free preview options.
Read article →SQL · 8 min read
Practice the SQL skills used in the Google Data Analytics Certificate: BigQuery, filtering, cleaning, joins, aggregations, subqueries, and complete worked examples.
Read article →Salary & Career · 6 min read
A realistic guide to salaries after the Google Data Analytics Certificate, using current Google, Lightcast, BLS, and O*NET data without promising a certificate-specific wage.
Read article →Planning · 6 min read
Estimate Google Data Analytics completion time from weekly capacity, practice and project hours. Compare official guidance with a worked calendar calculation.
Read article →Career · 6 min read
Match analyst job requirements to evidence from SQL, spreadsheets, dashboards, and projects. Learn how to assess roles without assuming a certificate guarantees eligibility.
Read article →Built for independent learners
GDACertPrep is an independent study resource. It is not affiliated with or endorsed by Google or Coursera. The goal is to help learners review concepts, practice core skills, and turn course work into a portfolio you can explain.
Program requirements and prices can change; check the official Google overview and Coursera syllabus. Current study articles distinguish Python coursework from legacy R resources.
Complete guide
The 242-page expanded edition includes current Python labs and companion datasets, code, formulas, and expected outputs. The R reference is optional legacy material.
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