CSC 210: Data Analytics Systems & Algorithms

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Class Program

Computer Science

Credits

Clinical Hours None

Weekly Contact Hours

Course ID

092455

Meets Degree Requirements For

General Elective

Description

Exploration of fundamental concepts, constructs, and techniques of modern data analytics systems. Coursework is primarily done in the R and Python programming languages.

Grading Basis

Graded

Prerequisites

CSC 110 with a "C" (2.0) or better

Course Learning Outcomes

Extract Filter, transform, and computationally analyze data.

Analyze and apply core data structures for data analytics.

Analyze and apply core algorithms for data analytics.

Design, implement, and test Python programs .

Present results in written and graphical forms.

Work on a team project.

Core Topics

Apply elementary unsupervised learning techniques (clustering, PCA)
Analyzing and applying data structures—trees, maps, hash tables, etc.
Implementing algorithms and data structures in Python
Designing and applying systems for data analysis
Problem solving with data structures and design techniques
Present results clearly
Work in a data analytics project team