Training¶
Books¶
- Free and paid data science books
- 7 free books to read in 2020
- Forecasting: Principles and Practice, the Pythonic Way
- Database Theory
- Open Electricity Economics
- The Turing Way
- The Pragmatic Programmer for Machine Learning
- An Introduction to Statistical Learning
- Python4DS
- The Data Engineering Handbook
- Stochastic Simulation: from Uniform Random Numbers to Generative Models
- Bayesian Modeling and Computation in Python
- Books that influenced Robust Python by Pat Viafore
- Alice's Adventures in a Differentiable Wonderland
- Probabilistic Artificial Intelligence
- Web Browser Engineering
- Cosmic Python: simple patterns for building complex applications
- Sequential Decision Analytics and Modelling with Python
- Data Visualization with Category Theory and Geometry
- Time series analysis with Python
Certifications¶
AWS Certification paths¶
Competitions¶
Courses¶
- Making friends with Machine Learning by Cassie Kozyrkov
- Data Science Tools cheatsheets from MIT 15.003
- Statistical Rethinking
- Google ML
- Applied Machine Learning (Cornell Tech University) and its repo
- Introduction to data-centric A.I.
- Machine Learning in Production @ Carnegie Mellon University
- Information Visualization by Beat Signer
Open Source Heroes¶
Learning Path¶
- How to start ML
- Learning path repositories
- DevOps roadmap
- computer-science: Path to a free self-taught education in Computer Science
Master¶
MOOC¶
- Udacity
- edX
- Udemy
- AWS @ edX
- 10 things to know about DS
- ColumbiaX
- Morphocode
- Terrelogiche GIS
- AWS Digital training
Academic papers¶
Programming Languages¶
Elm¶
Go¶
Julia¶
- Julia by example
- Learn x in y minutes: Julia
- Why learn Julia
- Pluto notebook for Julia
- From Python to Julia: An Ultimate Guide