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INFO 432 Advanced Data Analytics 3.0 Credits

Focuses on data analytic techniques that aim to understand data, discover knowledge, and learn from data. Presents the fundamentals of statistical inference and data analytic techniques in a practical approach. Provides methods on how to effectively collect data, analyze, understand data, and estimate some important quantities. Covers the key ideas in advanced functionality available in the R packages for conducting data analytics.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 332 [Min Grade: D]

Biomedical Engineering

http://catalog.drexel.edu/undergraduate/schoolofbioengscienceandhealthsystems/biomedicalengineering/

...ENVS, PHYS, INFO (including INFO 101 , INFO 110...210 4.0 BMES 432 3.0 BMES...

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