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Based on my own experience, I believe this roadmap provides clear answers to all the key questions about becoming a data analyst from scratch, including which technologies and programming languages to learn, what soft skills are essential, and how to start a professional career in this field.
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
functional data manipulation for pandas
Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
Making online learning fun and easy.
Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)
📊 🌐 🧑🏫 Website for graduate-level course on program evaluation and causal inference using R, built with Quarto
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.
Advanced introduction to R in French.