- Think Stats by Allen B. Downey (O'Reilly book)
- Statistics 1B by David Spiegelhalter: Estimation and Hypothesis Testing
- Forecasting: principles and practice
- Unit root testing: HEGY test (in Spanish)
- Theory and Algorithms for Forecasting Non-Stationary Time Series (tutorial at Neural Information Processing Systems Conference - NIPS 2016) (video, paper)
- Machine Learning for Sequential Data: A Review
- Machine Learning Strategies for Time Series Forecasting (paper, slides)
- Course: Practical XGBoost in Python
- awesome-jupyter : A curated list of awesome Jupyter projects, libraries and resources