Data Analyst Certificate Practice Exam: What to Expect
Ninety questions across spreadsheets, SQL, R, and Tableau, the same core areas covered in recognized industry training. Here's exactly what it tests, what it isn't, and how to prepare if you've worked through the earlier stages of this roadmap.
What This Exam Actually Is
This is a free, 90-question self-assessment tool, not an accredited industry certification. It's designed to test whether the fundamentals from the earlier stages of this roadmap actually stuck, the same purpose a chapter quiz serves in a textbook.
This isn't equivalent to credentials like the Google Advanced Data Analytics Professional Certificate or a Salesforce Tableau certification, which involve formal enrollment, proctored exams, and real industry recognition on a resume. Those are worth pursuing separately if you want a credential employers immediately recognize. This exam exists to check your own understanding, not to replace that.
What It Covers
The four topic areas mirror what recognized data analyst training programs actually teach, so practicing here transfers directly if you later pursue an official credential.
Spreadsheets
Formulas, pivot tables, and the analysis techniques most entry-level roles still lean on daily.
SQL
SELECT, JOIN, GROUP BY, and querying real, imperfect tables, covered in Stage 2 of this path.
R Programming
Basic statistical analysis and data manipulation, the areas most roadmaps introduce alongside Python.
Tableau
Chart selection and dashboard basics, the practical side of Stage 3's visualization principles.
How to Prepare
This exam is built to follow the sequence in this roadmap specifically, not general data knowledge picked up elsewhere. If you haven't worked through the earlier stages yet, start there first.
What Score Should You Aim For?
There's no official passing threshold since this isn't an accredited exam. A common informal benchmark used across similar self-assessments is around 70 percent. If you score noticeably lower in one specific topic area, treat that as a direct signal to revisit that stage rather than moving forward.
Start the Data Analyst Certificate Practice Exam
90 questions, free, no sign-up required. Take it once you've worked through the three stages above.
Start the Exam →Frequently Asked Questions
Is the Data Analyst Certificate an accredited certification?
No. This is a free self-assessment practice exam designed to test whether the fundamentals covered in this roadmap actually stuck. It is not an accredited industry certification and does not carry the same weight as credentials like the Google Advanced Data Analytics Professional Certificate or a Salesforce Tableau certification, which involve formal enrollment, proctored exams, and industry recognition.
What does the practice exam cover?
Ninety questions across spreadsheets, SQL, R programming basics, and Tableau, mirroring the core skill areas covered in recognized data analyst training programs like the Google Advanced Data Analytics Professional Certificate.
Do I need an official certification to get a data analyst job?
Not necessarily. Many employers weigh a real project portfolio and demonstrated skills more heavily than any single certificate. That said, a recognized credential like the Google Advanced Data Analytics Professional Certificate can help your resume clear initial screening, especially without other data experience.
How should I prepare for the practice exam?
Work through the three earlier stages of this roadmap first: data science fundamentals, SQL for data science, and data visualization. The practice exam is designed to test that sequence specifically, not general knowledge picked up elsewhere.
What score should I aim for on a practice exam like this?
There's no official passing threshold since this isn't an accredited exam, but a common informal benchmark used across similar practice tests is around 70 percent. Scoring below that on a specific topic area is a useful signal to review that stage again before moving on.
Khalid Hussain
Founder of Review Publically. 16+ years in web publishing, MSc Computer Science, Google & IBM-verified data analytics training via Coursera.