AEM 2840 - Python Programming for Data Analysis and Business Modeling

Fall. 3 credits. Letter grades only (no audit).

Forbidden Overlap: due to an overlap in content, students will not receive credit for both this course and AEM 2841.
Enrollment preference given to: Dyson students.

R. Moghimi.

This course is an introduction to programming with Python for students aiming to enter the world of business analytics. Using business applied cases students will increase decision making efficiency and productivity through a detailed understanding of Python programming languages. Students will also learn how to use a range of Python libraries for data analytics such as NumPy, MatPlotLib, Seaborn, Pandas, and Scikit.

Outcome 1: Program Python, a strong and popular open source programming language.

Outcome 2: Develop algorithmic thinking.

Outcome 3: Utilize and understand Basic Data Structures.

Outcome 4: Utilize and understand Conditional Branching and Looping.

Outcome 5: Create functions in Python.

Outcome 6: Utilize Python libraries that can be used for business analytics.

Outcome 7: Develop skills in building models to solve real-world business problems.

Outcome 8: Produce a Python solution for a business application.