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Home > Academics > Undergraduate > Data Science >
Data Science
Course Description

DATA 150
Introduction to Data Analysis
Fall

Data analysis is the extraction of knowledge and insights from complex data. This course introduces the concepts, issues, and techniques of data analysis. Topics include data cleaning and preparation, feature selection, association rules, classification, clustering, evaluation and validation. Tools implemented in R and Python will be used to explore data sets using these techniques.
Offered every other year beginning 2019-20.

Course Credit:
4

Instructor(s):
Maia Averett, Staff

Prerequisite:
CS 064 and MATH 102

Program Information
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Contact Information

P: 510.430.2226
F: 510.430.2226
E: datascience@mills.edu

Last Updated: 6/23/17