Go to Main Content

Purdue Self-Service



Syllabus Information


Spring 2022
May 26, 2022
Transparent Image
Information Use this page to maintain syllabus information, learning objectives, required materials, and technical requirements for the course.

Syllabus Information
CS 50023 - Data Engineering I
Associated Term: Spring 2022
Learning Outcomes: 1. Identify key file types (TXT, CSV, HTML) and their characteristics. Using Python, read data in these formats. 2. Create and execute Python scripts to parse, select, transform, summarize, and visualize data. 3. Explain how to identify and fill in missing values in data values. 4. Create informative visualizations from given data and recognize the key qualities of good visualizations. 5. Apply Pandas functions to slice, dice, and summarize datasets. 6. Apply the process of sampling data and sample probabilistically. 7. Demonstrate how to transform and construct features (e.g., standardization, distances). 8. Compute summary statistics from data (e.g., covariance, correlation). 9. Explain how to solve simple data analysis problems.
Required Materials:
Technical Requirements:

Return to Previous New Search
Transparent Image
Skip to top of page