Platform profile
In our catalog
Machine LearningBeginner
Kaggle Learn's micro-course on machine learning fundamentals using scikit-learn. Covers decision trees, model validation, underfitting and overfitting, and random forests. Three hours, all in browser-based notebooks.
Machine LearningIntermediate
Kaggle Learn's follow-up to Intro to ML. Covers missing values, categorical variables, pipelines, cross-validation, XGBoost, and data leakage. Four hours of focused, applied content.
Machine LearningIntermediate
Kaggle Learn's introduction to deep learning with TensorFlow and Keras. Covers neural networks, dropout, batch normalization, and binary classification. Hands-on with real datasets.
PythonBeginner
Kaggle Learn's 7-hour Python micro-course covering syntax, functions, booleans and conditionals, lists, loops, strings, dictionaries, and working with external libraries. Notebook-based with auto-graded exercises.
PythonBeginner
Kaggle Learn's 4-hour Pandas course. Covers DataFrames and Series, indexing, summarising data, grouping, sorting, data types, missing values, renaming, and combining DataFrames.
SQLBeginner
Kaggle Learn's 3-hour SQL micro-course using BigQuery. Covers SELECT, WHERE, GROUP BY, ORDER BY, JOINs, and writing efficient queries over large datasets. Notebook-based and free.
Head to head
Judging Kaggle Learn on its own only gets you so far. Each page below puts it head to head with one other platform on cost, certificates, and how deep the free material goes, and every one of them ends in a pick rather than a shrug.
They run in order of how much subject matter the two platforms share, so the near-substitutes for Kaggle Learn come first and the ones that barely overlap sit at the end. Each card names what the other platform is best at, which is usually enough to tell whether the comparison is worth your time.
Want the whole field at once instead? All 25 platforms in one filterable table, or the full comparison index.