DATA 210 - Python Programming for Data Analytics

Credits: 5
Variable Credit Course: No

Lecture Hours: 55
Lab Hours: 0
Worksite/Clinical Hours: 0
Other Hours (LIA/Internships): 0

Course Description: Gain practical experience coding in Python for data management and analysis. Designed for beginners, topics include basic object-oriented programming principles, Python syntax, and fundamental programming constructs. Through a hands-on approach, leverage essential Python libraries, including NumPy and Pandas, to perform data analysis and manipulation.

Prerequisite: None.
Meets FQE Requirement: No
Integrative Experience Requirement: No

Student Learning Outcomes

Explain the benefits of an object-oriented programming language.
Create simple programs and understand their behavior.
Apply the use of fundamental programming constructs including data types, control flow structures, and functions.
Apply libraries related to data analytics including NumPy and Pandas.

Course Contents

The benefits of object-oriented programming.
Basic syntax.
Fundamental programming constructs.
Libraries related to data analytics.

Instructional Units: 5