Find your next starting point.
Free learning paths for curious beginners. Every lesson, always free.
AI essentials: useful, responsible workflows
Use generative AI more thoughtfully: understand its limits, write clear prompts, check outputs, and protect private information with hands-on examples.
Power Automate: your first reliable workflow
Design a reliable first workflow: map a repeatable process, connect a trigger to actions, add safe conditions, and handle failures without duplicate work.
Excel: from first cell to confident analysis
Learn Excel tables, formulas, lookups, and PivotTables with guided examples and a small sales-analysis project. No spreadsheet experience needed.
Machine learning: build your first mental model
Build a beginner’s mental model of machine learning: define features and labels, make a baseline, evaluate carefully, and avoid data leakage.
Pandas: explore real-world data
Explore tabular data with pandas: load a CSV, inspect its columns, filter and group records, and make a careful plan for missing values.
Power BI: turn data into decisions
Build your first useful Power BI report: prepare a small dataset, connect a simple model, create clear measures, and explain what the visuals mean.
Power Query: clean once, refresh forever
Learn Power Query through repeatable data-cleaning steps: profile messy columns, transform safely, combine files, and verify every refresh.
Python: your first practical programs
Write your first useful Python programs using variables, conditions, functions, and loops, with beginner-friendly examples you can run and change.
SEO essentials: help people find useful content
Learn practical SEO by matching helpful content to reader questions, making pages easy to crawl, writing useful metadata, and measuring real outcomes.
SQL foundations: ask better questions
Learn SQL by asking a small sales database clear questions with SELECT, JOIN, GROUP BY, and hands-on queries explained in plain language.