UCLA: Tools in Data Science (STATS 418)
Course materials for UCLA's STATS 418 - Tools in Data Science covering R packages, machine learning libraries, databases, and reproducibility tools.
What is UCLA: Tools in Data Science (STATS 418)?
teach-data-science-UCLA-master-appl-stats is a collection of course materials for UCLA's STATS 418 - Tools in Data Science graduate course. It provides structured learning resources covering advanced data science tools including R packages, machine learning libraries, databases, and reproducibility workflows. The materials help bridge statistical theory with practical implementation using technologies data scientists use in industry.
Graduate students in statistics or data science programs, particularly those in UCLA's Master of Applied Statistics program. Also useful for self-learners seeking structured curriculum on practical data science tools beyond basic statistical concepts.
Provides a comprehensive, university-level curriculum focused on practical data science tools rather than just theory. The materials are designed by industry-experienced instructors and cover the complete data science workflow from data acquisition to model deployment.
Overview
Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
Use Cases
Best For
- Graduate students learning practical data science tools beyond theoretical statistics
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