Course Description
Finding, cleaning, and preparing data is often required prior to conducting any data analysis. Data wrangling often accounts for the majority of the time spent working with data and learning these concepts is fundamental to the data science process. Students will learn how to manipulate and clean data for analyses and visualizations, read data from web pages, and merge multiple data sets of reasonable sizes. Prerequisite Skills and Knowledge: Students should enter the course with basic knowledge of a programming language (such as R or Python).
SPRG 2024
Instructors
Classes Start:
January 8, 2024
Classes End:
April 23, 2024
Location:
00232 111 Lampe Drive
Class Days:
H
Class Start Time:
4:30pm
Class End Time:
5:20pm
Class Type:
Lecture
Credits:
1.00
Delivery Method:
In Person
Restrictions:
None
