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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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Data science and statistics Clear all

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 From Spreadsheets to Data Analysis

From Spreadsheets to Data Analysis

Bring your spreadsheet skills into structured, repeatable data analysisBeginnerData science and statistics4.3(3)50 lessonsSampleLin Zhao$3 Data Cleaning Fundamentals

Data Cleaning Fundamentals

Turn a messy table into data you can trust, with every change written downBeginnerData science and statistics4.7(3)49 lessonsSampleLin Zhao$4 Charts That Tell the Truth

Charts That Tell the Truth

Choose, build and critique charts that show data honestly and clearlyBeginnerData science and statistics4.7(3)45 lessonsSampleLin Zhao$4 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 Probability Intuition Without Formulas

Probability Intuition Without Formulas

Reason about chance, risk and test results using counts instead of equationsBeginnerData science and statistics4.7(3)40 lessonsSampleLina Khoury$3 Sampling and Bias in Samples

Sampling and Bias in Samples

Judge whether a sample can speak for a population, and why bigger is not always betterBeginnerData science and statistics4.5(2)35 lessonsSampleLina Khoury$4 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 Exploratory Data Analysis Step by Step

Exploratory Data Analysis Step by Step

Explore a new dataset with a clear routine and turn what you notice into testable questionsBeginnerData science and statisticsNewLin Zhao$4 Distributions in the Wild

Distributions in the Wild

Recognise the common distributions in real data and know what each impliesBeginnerData science and statisticsNewLina Khoury$4