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INFO 213 Data Science Programming II 3.0 Credits

Discusses the latest analytic and predictive techniques to solve real world business problems. Focuses on practice rather than theory by using existing Python libraries and tools to produce solutions. Covers practical Python implementations of the basic concepts in mathematics and statistics that are at the core of data science. Introduces Python libraries for the most common models and techniques for data analytics such as clustering, classification, regression, and decision trees.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: INFO 212 [Min Grade: D] and STAT 201 [Min Grade: D]

Data Science

http://catalog.drexel.edu/undergraduate/collegeofcomputingandinformatics/datascience/

...0 Term 5 INFO 213 Data Science Programming II 3.0 INFO 215 Social Aspects...

Interactive Digital Media

http://catalog.drexel.edu/undergraduate/collegeofmediaartsanddesign/interactivedigitalmedia/

...Composition III 3.0 IDM 213 Interaction Design 3.0 INFO 110 Introduction to Human...

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