CSCI 232 - Data Science with Python

5 Credits

This programming class builds on the previous Python programming concepts. Students will be exposed to intermediate Python, frameworks, databases, and data science.

Pre-requisite(s) C SCI 132 min. 2.0
FeesCF

Quarters Typically Offered
Summer Online
Fall Online
Winter Online
Spring Online

Designed to Serve Students in web development or computer science and wanting to advance their skills in Python and data science.
Active Date 20220408T15:00:02

Grading Basis Decimal Grade
Class Limit 24
Contact Hours: Lecture 55
Total Contact Hours 55
Degree Distributions:
Restricted Elective Yes
Course Outline

Data Structures & Algorithms
Creating a Model (Databases)
Introduction to OOP.
Web Framework.
Textual data and the different types of categorical data.
Apply data pre-processing (being able to “clean up” the data).
Data parsing (being able to read data from text files and “convert” to arrays.
Python libraries (“numpy” and “Pandas”)
An overview of natural language processing.
Data visualization (Using the python library “Matplotlib”).
Plotting.

Student Learning Outcomes
Effectively code via Python, web framework (existing code).

Correctly implement the use of Data Structures & Algorithms

Correctly read and write to/from a database and data parsing.

Implement and reuse code as functions.

Differentiate between data visualization, data pre-processing, and natural language processing through code and application.

Application of Python code based on data science scenarios.