Overview
Description
This course explores how data can be transformed for use in data analytics through the Python programming language. The course highlights how to access data from a variety of publicly available repositories and uses Python to transform that data into data sets that are capable of being used to support decision-making in organizations.
Requirements
Prerequisites
- Admission to the MS in Information Systems.
Original catalog text
Prerequisites
Prerequisite(s): Admission to the MS in Information Systems.
Units
Lecture3
Catalog Details
Offering
Offered: Every Spring
Terms
spring
Restrictions
Admission to the MS in Information Systems.
Attributes
Standard
Learning Outcomes
- describe the challenges involved with extracting, transforming, and loading data from a variety of different data repositories.
- describe the basic components of the Python language including data structures, loops, and conditional logic.
- identify opportunities to make use of advanced Python constructs such as functions, objects, and classes.
- use Python to extract, transform and load data into formats that are able to be used for analytical processes.
- use Python to clean data.
- identify an appropriate data set to answer their research questions.