AI for Data Analysts Certification
Tests how analysts use AI to write SQL and Python, clean data, explore datasets, build visuals and explain findings — while validating results and protecting data. Pass to earn AI for Data Analysts SOA-AIDA.
- Intermediate difficulty.Assumes hands-on experience in the role.
- 15 scenario questions
- 15 minutes, timed
- 70% to pass · 90% for distinction
- Free no sign-up needed
- LinkedIn-ready · add it to your profile in one clickSee how ↓
What is the AI for Data Analysts Certification?
The AI for Data Analysts Certification is a free 15-minute skill test from Science of Apps. It tests how analysts use AI to write SQL and Python, clean data, explore datasets, build visuals and explain findings — while validating results and protecting data. Score 70% or more on its 15 questions to earn a verifiable AI for Data Analysts certificate (SOA-AIDA). Every question is based on published standards and research — including pandas user guide (pandas), Storytelling with Data (Cole Nussbaumer Knaflic), e-Handbook of Statistical Methods (NIST) — and each answer is explained with its source.
Built for your job title
Data analyst, Business analyst, BI developer, Marketing analyst and Financial analyst — and anyone who wants quick, verifiable proof of AI for Data Analysts skills for a CV or LinkedIn.
- Data analyst
- Business analyst
- BI developer
- Marketing analyst
- Financial analyst
Land the job, not just the certificate
Career guide · 8 min readAI skills for data analysts in 2027: SQL and Python with AI, cleaning, exploration, charts and explanation — validated and privacy-safe
AI skills data analysts need in 2027: SQL and Python with AI, data cleaning, exploration and charts, validating results, privacy and ML basics.
Read the hiring playbook →What the test covers
Three skill areas with 5 questions each, drawn from a bank of 10 per area, so a retake brings questions you haven't seen.
- 01
Analysis with AI
33%- SQL and Python generation
- Data cleaning
- Exploration and charts
- 02
Trustworthy results
33%- Validating outputs
- Explaining findings
- Data privacy
- 03
AI and machine learning basics for analysts
33%- Model evaluation
- Forecasting
- Feature and data leakage
Based on published standards
The questions are original scenarios, and each one names the public standard, official guide or research it draws on — shown under the question while you answer, and linked in your review. These are the sources behind this test:
- pandas user guidepandas4 questions
- Storytelling with DataCole Nussbaumer Knaflic3 questions
- e-Handbook of Statistical MethodsNIST3 questions
- DAMA Data Management Body of KnowledgeDAMA International3 questions
- Machine Learning Crash CourseGoogle for Developers3 questions
- Machine Learning Crash Course: Precision and recallGoogle for Developers3 questions
- The SQL languagePostgreSQL2 questions
- Trustworthy Online Controlled ExperimentsKohavi, Tang & Xu2 questions
- Prompt engineering overviewAnthropic1 question
- A Survey on Hallucination in Large Language Models (2023)Huang et al.1 question
- What is GDPR?GDPR.eu1 question
- General Data Protection Regulation (full text)gdpr-info.eu1 question
- Metrics and scoring: quantifying the quality of predictionsscikit-learn1 question
- People + AI GuidebookGoogle PAIR1 question
- AI Risk Management FrameworkNIST1 question
Try a sample question
AI wrote a query joining orders to customers. The order count doubled. What's likely?
- The AI is right
- The database is broken
- A join created duplicate rows
- Sales doubled overnight
Show the answer
C. A join created duplicate rows — Unexpected row multiplication usually means a one-to-many join. The real test has 15 questions like this.
How the test works
15 minutes, 15 questions
One question per screen, with a progress bar and a countdown. Your progress is saved on this device if you need to pause.
Graded on our server
Answers reach the page only after you submit, so the certificate can only be earned by passing.
Every answer explained
Pass or not, you see every question with the right answer, why, and the source behind it. Pass mark 70%, distinction 90%.
Your certificate
Founder-signed, with a QR code and credential ID. Download PDF or PNG, add to LinkedIn, and it's emailed to you.
What you earn

Pass, then add it to LinkedIn in one click
No typing. The Add to LinkedIn button opens your profile’s Licenses & certifications form already filled in: the certificate name, Science of Apps as the issuer, the issue date, your credential ID and a link recruiters can use to verify it.
- 1Take the 15-minute test
- 2Score 70% or more
- 3Click Add to LinkedIn

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Frequently asked questions
What is the AI for Data Analysts Certification?
The AI for Data Analysts Certification is a free 15-minute skill test from Science of Apps. It tests how analysts use AI to write SQL and Python, clean data, explore datasets, build visuals and explain findings — while validating results and protecting data. Score 70% or more on its 15 questions to earn a verifiable AI for Data Analysts certificate (SOA-AIDA). Every question is based on published standards and research — including pandas user guide (pandas), Storytelling with Data (Cole Nussbaumer Knaflic), e-Handbook of Statistical Methods (NIST) — and each answer is explained with its source.
How do I take the AI for Data Analysts Certification for free?
Read the three skill areas on this page, then take the 15-minute test online — no fee, course or sign-up. You see every answer explained when you finish. Score 70% or more and you get a AI for Data Analysts certificate straight away, on screen, as a PDF and by email, with a credential ID anyone can verify.
Are the AI for Data Analysts Certification questions based on real standards?
Yes. The questions are original scenarios written by Science of Apps, and each one is based on a public source you can read: pandas user guide (pandas); Storytelling with Data (Cole Nussbaumer Knaflic); e-Handbook of Statistical Methods (NIST); DAMA Data Management Body of Knowledge (DAMA International); Machine Learning Crash Course (Google for Developers); Machine Learning Crash Course: Precision and recall (Google for Developers). The source is shown under each question and linked in the answer review. Science of Apps doesn't copy questions from other tests.
What does the AI for Data Analysts Certification cover?
Three skill areas with five questions each, drawn from a bank of 10 per area so a retake brings new questions: Analysis with AI (SQL and Python generation, Data cleaning and Exploration and charts); Trustworthy results (Validating outputs, Explaining findings and Data privacy); AI and machine learning basics for analysts (Model evaluation, Forecasting and Feature and data leakage). Every question is an original scenario based on a published standard, official documentation or research, named under the question.
Who should take the AI for Data Analysts Certification?
Data analyst, Business analyst, BI developer, Marketing analyst and Financial analyst. It suits anyone who wants a quick, verifiable way to show AI for Data Analysts skills, from students and career switchers to experienced professionals.
Can I take the AI for Data Analysts Certification from any country?
Yes. The test is online, in English and free everywhere — people take it from India, the US, the UK, Europe, Africa, Latin America and Asia-Pacific. Your certificate is dated with your own local date and can be verified from anywhere at scienceofapps.com/certification/verify/.
How long is the AI for Data Analysts Certification?
15 questions — 5 from each of 3 skill areas — with a 15-minute limit. You need 70% (11 of 15) to pass and 90% for distinction.
How hard is the AI for Data Analysts Certification?
We rate it Intermediate: assumes hands-on experience in the role. It has 15 scenario questions — 5 from each of 3 skill areas — and a 15-minute limit. You need 70% (11 of 15) to pass and 90% for distinction.
How do I prepare for a Data analyst job?
Data analysts in 2027 are expected to use AI to write SQL and Python, clean data, explore datasets, build charts and explain findings — and to validate every result, protect sensitive data and understand basic model evaluation and leakage. AI makes analysts faster but can be confidently wrong about joins, filters and definitions. Show an analysis where you caught an AI error, and verify your skills with a free test. Our full career guide covers the hiring process, interview loop, pay and a prep plan: scienceofapps.com/blog/ai-for-data-analysts-career-guide/
How much do Science of Apps certifications cost?
Nothing. There is no fee to take a test, to receive the certificate, to have it emailed or to verify it, and no sign-up.
How are the tests graded?
On our server, not in your browser. The answers never reach the page until you submit, so a certificate can only be earned by passing. Each certificate gets a unique credential ID stored by Science of Apps.
What happens if I don't pass?
You see your score for each area and every question with the correct answer and why, with the published source behind it. You can retake after 30 minutes, and the retake draws questions you haven't seen yet.
Do the certificates expire?
No. Every certificate is dated, so it always shows when you passed. Retake a test any time for a newer date or a higher score.
Can I add the certificate to LinkedIn?
Yes. After you pass, Add to LinkedIn opens the Licenses & certifications form with the certificate name, Science of Apps as the issuer, the issue date, your credential ID and the verification link filled in. You can also download it as a PDF or PNG, and it's emailed to you as a PDF.
How can an employer verify my certificate?
Every certificate has a credential ID and a QR code. Scanning it, or entering the ID at scienceofapps.com/certification/verify/, shows the holder's name, the certification, the score and the issue date from our records.
Are these accredited qualifications?
No. They are Science of Apps' own assessments of applied skill. They aren't issued by a university or standards body, and they work best alongside a portfolio that shows the skills in real work.
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Read before you test
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