Data analysis and machine learning

Part 10 of AI for Everyone · Articles 093–102

Produce reproducible analyses and appropriately evaluated small models.

Before you begin

Basic numeracy and spreadsheet skills; take the programming bridge before code-dependent lessons.

Data and ML; spreadsheet basics, coding for selected labs.

Lessons

• Article 093: Ask Questions Your Data Can Actually Answer
• Article 094: Clean Spreadsheets Without Losing the Original Truth
• Article 095: Explore Data and Explain What You Find
• Article 096: Create Charts and Dashboards That Do Not Mislead
• Article 097: Use AI to Help Write SQL and Python Analysis
• Article 098: Compare Options with Statistics and Experiments
• Article 099: Forecast Demand and Plan for Uncertainty
• Article 100: Build Your First Prediction or Classification Model
• Article 101: Understand Neural Networks, Transformers, and Model Training
• Article 102: Detect Data Leakage, Bias, and Model Drift

Put it into practice

Work toward this demonstration: A reproducible analysis or model report with independent checks.

Keep the evidence of what you did, what you checked, and what still needs work. Use the exercises and completion checks in the lessons to guide your project.

All learning paths · Full series