Python Basics
Start with the essentials of Python programming, the foundation of data science.
Explore PythonBuild from the essentials
Choose your learning path
Begin with the foundations you need, then follow the connected lessons at your own pace.
Statistics & Probability
Build a strong statistical foundation to analyze data effectively.
Learn StatisticsMachine Learning
Dive into machine learning algorithms and start building intelligent systems.
Get Started with MLData Visualization
Learn to create insightful data visualizations using Matplotlib and Seaborn.
Visualize DataLinear Algebra
Understand the mathematical foundations crucial for machine learning and AI.
Master Linear AlgebraData Manipulation
Get hands-on with Pandas for efficient data cleaning and manipulation.
Manipulate DataData Engineering
Move from notebook-scale analysis to SQL, data formats, pipelines, and analytics marts.
Build trustworthy datasetsExperimentation & Causal Inference
Connect statistical evidence to decisions through experiments and causal reasoning.
Design credible studiesML Engineering & MLOps
Develop, deliver, monitor, and maintain machine-learning systems responsibly.
Operationalize modelsDeep Learning & Modern AI
Build from neural-network foundations to vision, transformers, and grounded generative-AI systems.
Study modern AIRecommender Systems, Search & Ranking
After introductory machine learning, connect feedback data to retrieval, ranking, and honest evaluation.
Design recommendationsGraph & Network Data Science
After Python and linear algebra, study relational structure, graph algorithms, and graph learning.
Analyze networksGeospatial Data Science
After Python and data handling, learn projections, vector and raster workflows, and leakage-aware spatial analysis.
Work with spatial dataOptimization & Decision Science
After linear algebra and basic probability, turn predictions into constrained decisions with auditable solver evidence.
Optimize decisionsProduct Analytics & Metric Systems
After statistics and data handling, connect event instrumentation, behavioral metrics, and decision communication.
Build metric systemsNot sure where to begin?
Start with a guided overview
Use the learning journey to choose a starting point and move through the site in a sensible order.