Course Description

Introduces students to data analytics with the Python programming language. Covers programming fundamentals and focuses on built-in data structures in Python for storing and manipulating data and statistical analysis and data visualization. Concludes with a data exercise to put knowledge and skills across topics into practice.

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Athena Title

Python Prog Bus Analytics I

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Non-Traditional Format

This course will be taught 95% or more online.

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Prerequisite

Admission to a full major in the Terry College of Business.

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Grading System

S/U (Satisfactory/Unsatisfactory)

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Student learning Outcomes

• Students will demonstrate proficiency in Python programming fundamentals, including syntax, variables, data types, control structures, functions, and basic scripting techniques.
• Students will apply appropriate data structures and transformation techniques to organize, manipulate, clean, and prepare data for analysis.
• Students will use the Pandas library to efficiently import, manage, query, merge, and analyze tabular datasets.
• Students will employ statistical methods to summarize data, identify patterns, test hypotheses, and support data-driven decision making.
• Students will create clear, informative, and effective visualizations that communicate analytical findings and insights to diverse audiences.

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Topical Outline

• The analytics workflow in Python
• Reproducible analytics in the Jupyter environment
• Markdown language for technical documentation
• Python variables, operators, and types
• Python functions, control flow and string manipulation
• Python built-in data structures and list comprehensions
• DataFrame and Series with the Pandas package
• Descriptive statistics and regression analysis
• Data visualization of relationships, distributions, and categories
• Data analysis exercise

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Institutional Competencies Learning Outcomes

Analytical Thinking

The ability to reason, interpret, analyze, and solve problems from a wide array of authentic contexts.

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Syllabus

Select Faculty / Instructor to download syllabus:   Safadi, Hani

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Public CV

Select a file to download:   Data Engineering - Course Syllabus - Fall 2026.pdf

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