Free Assessment
Data Analysis Skills Test (Basic)
Test your data analysis knowledge across statistics, data cleaning, SQL, visualization, spreadsheets, and analytical thinking.
Career-Focused Assessment
Comprehensive Data Analyst Skills Test
The skills a real Data Analyst is hired for: practical spreadsheet work, SQL from core to window functions, reading data correctly, business judgment on the job, and working effectively with AI.
What Is the Data Analysis Skills Test?
This is a free, self-scoring assessment for anyone learning or working in data analysis. It comes in two versions. The Basic Test is a 20-question check across statistics, data cleaning, SQL, visualization, spreadsheets, and analytical thinking, and it is the quickest way to see where you stand. The Comprehensive Test (Career-Focused) mirrors what a modern Data Analyst is actually screened on in interviews and on the job: practical spreadsheet work, SQL from the fundamentals up to window functions, interpreting data and charts correctly, sound business judgment, and working effectively with AI tools. Every question gives you an immediate explanation, so the test doubles as a study tool.
How Is the Score Calculated?
Each question is worth one point and every area is weighted equally. Your score is the percentage of questions you answer correctly, and the results screen breaks that down by skill area so you can see exactly where you are strong and where to focus next. Scores map to four bands: Beginner (0–40%), Intermediate (41–70%), Advanced (71–89%), and Expert (90–100%). Nothing is stored or sent anywhere; the whole test runs in your browser.
Is This Test Free?
Yes, completely and permanently free. There is no sign-up, no email wall, and no limit on how many times you can take it. Switch between the two tests, retake either one as often as you like, and use the per-question explanations to close your knowledge gaps.
What Makes the Career-Focused Test Different?
Most quizzes stop at textbook definitions. The Comprehensive Test is built around the work itself. The spreadsheet questions cover the functions analysts reach for daily, including PivotTables, XLOOKUP and INDEX-MATCH, SUMIFS and COUNTIFS, IF logic, cleaning, and filtering. The SQL section runs from WHERE versus HAVING and join types up to window functions, CTEs, and correlated subqueries, reflecting mid-level and senior expectations. Beyond the tools, whole sections test the judgment employers actually pay for: reading a chart without being misled, deciding what to investigate when a number moves, making a defensible recommendation, and using AI as an accelerator while still verifying its output.
How Can I Improve My Data Analysis Skills?
Use your area breakdown as a study plan and go deep on your two weakest sections first. For hands-on SQL, spreadsheets, and analytics practice, DataCamp offers guided, interactive courses that build real fluency. For a structured, university-backed program, the Google Data Analytics Professional Certificate on Coursera takes you from spreadsheets through SQL, R, and Tableau with portfolio projects. Pair either with regular practice on real datasets, and retake this test every few weeks to track your progress.