Tutorials
Step-by-step guides to master data science with tangent/ds.
Observable Notebooks
Interactive tutorials are available as Observable notebooks:
| Tutorial | Topics |
|---|---|
| Ordination Analysis | PCA, LDA, RDA, biplots |
| Statistical Analysis | t-tests, ANOVA, GLM, mixed-effects |
| Clustering | HCA, K-means, dendrograms |
| Machine Learning | Classification, cross-validation, tuning |
Learning Path
Beginner – Start here if you’re new to data science:
- Getting Started – Installation and first analysis
- Examples – Quick code snippets
- Statistics API – Statistical tests and GLM
Intermediate – Build on statistical foundations:
- Multivariate Analysis API – PCA, LDA, RDA
- Machine Learning API – Models and pipelines
Advanced – Deep dive into the full API:
- Core Utilities API – Linear algebra, formulas, optimization
- Visualization API – Custom plot configurations