ITI 557 - Introduction to Python for Data Analyst

Registration Option: Open Enrollment

Total Course Hours: 12

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Description

This hands-on course introduces students to the core skills of data analytics using Python. The class focuses on learning by writing code, exploring real datasets, and building a working understanding of how data is cleaned, analyzed, visualized, and modeled. By the end of the course, students will complete a small but authentic analytics project using the Titanic dataset. The project ties together programming, data manipulation, basic statistics, and simple predictive modeling. All course materials are provided.

Prerequisites

Programming Fundamentals (ITI454) or basic programming knowledge.

Objectives

Upon successful completion of this course, students will be able to write and run Python code confidently in Jupyter Notebook; use lists, dictionaries, loops, and functions to manage and process data; use the Pandas and NumPy libraries to import, clean, and prepare datasets; create data visualizations using the Matplotlib and Seaborn libraries; interpret relationships between variables using basic statistics and correlation; develop and evaluate simple predictive models; and communicate findings clearly through metrics, charts, and dashboards.