AiTechWorlds
Learn data science with the best GitHub repositories — interactive Python data-science handbooks, learning roadmaps, and curated tool lists. Master analysis, visualization, and ML basics for free.
9 repositories
jakevdp
The full data-science handbook + notebooks
The complete text and Jupyter notebooks for the “Python Data Science Handbook”.
What you get
What you'll learn
Best for: Beginners building practical data skills.
academic
A data science learning roadmap
A curated repository acting as a learning path and resource hub for data science.
What you get
What you'll learn
Best for: Self-learners wanting structure.
donnemartin
Data science notebooks galore
A large set of data-science Python notebooks covering pandas, scikit-learn, TensorFlow, and more.
What you get
What you'll learn
Best for: Learners who want lots of examples.
MrMimic
A visual data scientist roadmap
A visual roadmap of the skills needed to become a data scientist.
What you get
What you'll learn
Best for: Beginners planning a data-science path.
pandas-dev
The Python data-analysis powerhouse
pandas — the core Python library for data manipulation and analysis.
What you get
What you'll learn
Best for: Anyone working with tabular data.
DataTalksClub
A free data engineering course
A free, hands-on data-engineering course covering pipelines, warehouses, and orchestration.
What you get
What you'll learn
Best for: Aspiring data engineers.
numpy
The foundation of scientific Python
NumPy — the core library for numerical computing and arrays in Python.
What you get
What you'll learn
Best for: Anyone doing data or scientific work in Python.
matplotlib
The standard Python plotting library
Matplotlib — the foundational library for data visualization in Python.
What you get
What you'll learn
Best for: Data folks visualizing results.
FavioVazquez
A large set of data-science cheatsheets
A curated collection of cheatsheets for data science, ML, Python, and statistics.
What you get
What you'll learn
Best for: Learners revising data-science topics.
jakevdp/PythonDataScienceHandbook provides the full text and notebooks for NumPy, pandas, Matplotlib, and scikit-learn.
Yes — curated “awesome-datascience” lists and roadmaps lay out the skills and order to learn them.
Basic statistics helps, but you can start with the handbook’s practical notebooks and learn math alongside.
Pair these with our learning roadmaps, free courses, and notes library.
