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657 tutors in 31 topics, built by 75 teachers. Each one follows a lesson plan its teacher wrote.

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Foundations 89

All Foundations89 AI basics25 How language models work23 AI safety and ethics49

Everyday AI 91

All Everyday AI91 Prompting20 ChatGPT and Claude at work25 AI for writing29 AI for research and study33

Building with AI 162

All Building with AI162 Python for AI21 Building with LLM APIs30 RAG and search21 Evaluation and testing21 AI agents31 AI automation25 AI coding assistants30

Machine learning 149

All Machine learning149 Machine learning35 Data science and statistics30 Math for AI23 Deep learning28 NLP14 Computer vision14 Fine tuning and training12 MLOps and deployment18

Creative AI 77

All Creative AI77 Image and video AI58 Audio and voice AI12 AI for design33

AI at work 145

All AI at work145 AI for business34 AI for marketing and sales23 AI for product and operations28 AI for education28 AI for professionals29 AI careers18

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15 tutors

Data science and statistics Intermediate Clear all

Communicating Results to Non Experts

Communicating Results to Non Experts

Turn analysis into clear sentences, simple charts and decisions people act onAll levelsData science and statistics4.3(4)82 lessonsSampleKojo Amankwah$5 End to End Tabular ML Project

End to End Tabular ML Project

Take one tabular dataset from question to tested model to clear write upAll levelsData science and statistics4.3(4)72 lessonsSampleLukas Brenner$9 Confidence Intervals, Clearly

Confidence Intervals, Clearly

Build, read and explain confidence intervals without the usual misunderstandingsIntermediateData science and statistics4.3(3)66 lessonsSampleLina Khoury$6 Survey Data: Design to Analysis

Survey Data: Design to Analysis

Write better questions, weight responses sensibly and report survey results honestlyAll levelsData science and statistics3.7(3)65 lessonsSampleLina Khoury$6 Designing Experiments: Power, Units and Blocking

Designing Experiments: Power, Units and Blocking

Plan experiments that can actually detect the effects you care aboutIntermediateData science and statistics4.7(3)64 lessonsSampleKojo Amankwah$7 Time Series Forecasting Basics

Time Series Forecasting Basics

Forecast demand, traffic or sales with honest baselines, proper backtests and useful intervalsIntermediateData science and statistics4.3(3)62 lessonsSampleKenta Arai$8 SQL Window Functions and Cohorts

SQL Window Functions and Cohorts

Rank, compare and track users over time with window functions and clean CTEsIntermediateData science and statistics4.7(3)61 lessonsSampleLin Zhao$6 Data Science Interview Practice

Data Science Interview Practice

Practise statistics, ML, SQL and case questions with structured feedback on your answersAll levelsData science and statistics4.3(3)57 lessonsSampleKojo Amankwah$8 Metric Definitions That Hold Up

Metric Definitions That Hold Up

Define metrics precisely so every dashboard and team means the same thingAll levelsData science and statistics4.3(3)54 lessonsSampleLin Zhao$6 Hypothesis Tests and P Values Done Right

Hypothesis Tests and P Values Done Right

Run tests, read p values correctly and report effects that actually matterIntermediateData science and statistics4.7(3)45 lessonsSampleLina Khoury$7 Reading Statistics in Research and News

Reading Statistics in Research and News

Judge a study or headline claim with a short list of sharp questionsAll levelsData science and statistics4.7(3)34 lessonsSampleLina Khoury$5 Messy Real World Data

Messy Real World Data

Handle time zones, dirty join keys, shifting definitions and late data like a seasoned analystIntermediateData science and statisticsNewLin Zhao$7