Data Science & Statistics

Statistical analysis, hypothesis testing, experimental design, predictive modeling, and data science workflows.

Topics

Lessons

Clustering, association rules, anomaly detection

Classification, regression, time series, ensemble methods

Pandas, NumPy, SciPy, matplotlib, seaborn

Hypothesis testing, regression, Bayesian methods, R, SAS