DSCC 201
Tools for Data Science
"This course provides a hands-on introduction to widely-used tools for data science. Topics include Linux; languages and packages for statistical analysis and visualization; cluster and parallel computing including GPUs; Hadoop and Spark; libraries for machine learning; NoSQL databases; and cloud services.
Topics
- Linux
- languages and packages for statistical analysis and visualization
- cluster and parallel computing including GPUs
- Hadoop and Spark
- libraries for machine learning
- NoSQL databases
- and cloud services
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027
Catalogue variants
- Tools for Data Science · 4.0