AI Free course · Certificate included
AI for Data Analysis & Decision Making
Analyze data with ChatGPT, Claude, Copilot and Gemini; verify formulas, SQL and Python; test honestly; decide under uncertainty
- Intermediate
- 5 h 38 min
- 16 lessons in 6 modules
- 2 h 12 min of video lectures
- Updated Sep 2026
About this course
AI assistants can clean spreadsheets, write formulas, SQL and Python, run code, draw charts and summarize findings in minutes. This course teaches you to get that speed without being fooled, current to September 2026.
You will learn a trustworthy analysis workflow and choose the right tool (ChatGPT, Claude, Gemini, Copilot and Python in Excel, Colab, BigQuery) for each task. You will clean data with visible, reversible changes, explore systematically, frame decision-focused questions and build a reusable prompt library. You will generate and verify formulas, SQL and Python notebooks with assertions and reconciliations, build honest charts and narratives, recognize statistical traps, design and read A/B tests with confidence intervals, forecast with baselines and intervals, communicate uncertainty and use decision frameworks with AI as an advisor, not the decider. Designed for analysts, marketers, product and operations professionals.
Tools you’ll use
- ChatGPT
- Claude
- Gemini
- Microsoft Excel
- Copilot in Excel
- Python in Excel
- Claude for Excel
- Google Sheets
- Google Colab
- BigQuery
- Python
- pandas
- statsmodels
- matplotlib
- SQL
Skills
- Data analysis
- AI-assisted analytics
- SQL
- Python for analysis
- Data visualization
- Statistical thinking
- A/B testing
- Decision making
What you’ll be able to do
- Run a six-step AI analysis workflow with briefs, verification logs and privacy safeguards
- Choose between AI assistants, spreadsheet AI, notebooks and warehouses using data policy, size and reviewability
- Clean and explore data with logged, reversible changes and group sizes on every pattern
- Generate and verify formulas, SQL and Python with tests, assertions and reconciliations
- Create honest charts and Situation-Insight-Implication-Action narratives checked against source tables
- Recognize statistical traps, size and read A/B tests, and forecast against a seasonal-naive baseline
- Communicate uncertainty with ranges and use decision frameworks with AI as an advisor
Curriculum
Syllabus
- Modules
- 6
- Lessons
- 16
- Reading time
- 3 h
- Assessment questions
- 25
Set up a trustworthy workflow, choose the right AI tool for each task, and use AI to clean and prepare messy data with a change log.
- A trustworthy AI analysis workflowVideo lecture, 9′Video · 11 min
- The AI analysis tool landscape in 2026: assistants, spreadsheets, notebooks and MCPVideo lecture, 9′8 min
- Cleaning and preparing messy data with AIVideo lecture, 8′12 min
Explore datasets systematically, frame decision-focused questions with a shared glossary, and build a reusable prompt library.
- Exploratory analysis with AIVideo lecture, 9′11 min
- Asking better analytical questionsVideo lecture, 8′10 min
- A reusable prompt library for trustworthy AI analysisVideo lecture, 8′8 min
Generate spreadsheet formulas, SQL queries and Python analysis with AI, and apply systematic verification so the numbers can be trusted.
- Spreadsheet formulas with AIVideo lecture, 8′10 min
- SQL with AI: from question to queryVideo lecture, 8′11 min
- Python analysis with AI, and verifying the resultsVideo lecture, 8′11 min
Create honest, clear charts with AI and turn analysis into narratives that drive decisions.
- Choosing and building honest chartsVideo lecture, 8′11 min
- From analysis to insight narrativesVideo lecture, 8′11 min
Recognize the traps AI analysis falls into, design and read A/B tests with intervals, and forecast against honest baselines.
- Avoiding common statistical trapsVideo lecture, 8′12 min
- Experiments and A/B tests: statistics you can defendVideo lecture, 9′8 min
- Forecasting with AI: useful, with caveatsVideo lecture, 8′11 min
Express uncertainty clearly, and use AI to support, not replace, sound decision-making.
- Communicating uncertainty clearlyVideo lecture, 8′10 min
- Making decisions with AI supportVideo lecture, 8′11 min
- Final assessment
Your certificate
Finish with a credential anyone can check
Earn the Certified AI Data Analyst badge: The holder can use AI assistants and spreadsheet, notebook and warehouse tools to clean, explore and analyze data while keeping results trustworthy: generating and verifying formulas, SQL and Python, building honest charts and narratives, avoiding statistical traps, designing and reading experiments, forecasting with caveats and communicating uncertainty to support sound decisions.
Completed all lessons and scored at least 80% on the final assessment.
- A public verification page
- A PDF certificate to download
- An Open Badge you can share
- One click to your LinkedIn profile
Final assessment
- 25questions drawn from a larger pool
- 40 mintime limit
- 80%pass mark
- 3attempts per 24 hours
Start learning today. It’s free.
Every lesson is free to read. A free account saves your progress, unlocks the final assessment and issues your certificate.