STATS 418

Tools in Data Science

Description: Lecture, three hours; discussion, one hour. Requisites: courses 404, 405. Limited to Master of Applied Statistics students. Tools for data acquisition, transformation and analysis, data visualization, and machine learning and tools for reproducible data analysis, collaboration, and model deployment used by data scientists in practice. Advanced R packages, analytical databases, high-performance machine learning libraries, big data tools. Letter grading.

Units: 4.0
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Harrison Katz

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Nathan Langholz

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Jordan Mendler

Overall Rating 5.0
Easiness 3.2/ 5
Clarity 5.0/ 5
Workload 2.5/ 5
Helpfulness 5.0/ 5
Most Helpful Review
Winter 2020 - Learn a lot in class and covers different materials that are very relevant. The professor is really nice and knowledgable. Highly recommended.

Szilard Pafka

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