CSC 110: Introduction to Data Analytics

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Class Program
Computer Science
Credits
5
Clinical Hours None
Weekly Contact Hours
5
Course ID
092425
Meets Degree Requirements For
General Elective
Description

Basic concepts, principles, and tools used in data analytics. Coursework is primarily done in the R programming language. 

Grading Basis
Graded
Prerequisites

MATH& 141 with a "C" (2.0) or better

Course Learning Outcomes

Core Topics

 

  1. Describe basic skills needed for data analysis
  2. Highlight key features of modern data (high-dimensionality, heterogeneity)
  3. Preprocessing data
  4. Conduct “Exploratory data analysis”
  5. Apply elementary supervised learning techniques
  6. Address generalization issues via model diagnostics and cross-validation (for supervised learning)
  7. Present results clearly
  8. Work in a data analytics project team