Course ID: | BUSN 3030E. 1.5 hours. |
Course Title: | Python Programming Skills for Business Analytics I |
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. |
Oasis Title: | Python Prog Bus Analytics I |
Nontraditional Format: | This course will be taught 95% or more online. |
Grading System: | S/U (Satisfactory/Unsatisfactory) |
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Course Objectives: | Learning Outcomes
The Python ecosystem for data analytics
Python language fundamentals
Data representation and data manipulation in Python
Data visualization and statistical analysis in Python |
Topical Outline: | The analytics workflow in Python
* Reproducible analytics
* The Jupyter environment (notebook and lab)
* Markdown language for technical documentation
Python language fundamentals
* Variables
* Operators
* Types
* String
* Control flow
* Functions
Data manipulation with Python
* Built-in data structures
* List comprehensions
* DataFrame and Series
Statistical analysis and data visualization
* Descriptive statistics and regression analysis
* Visualizing statistical relationships and distributions of data
* Visualizing categorical data and regression models
Putting it together
* Data analysis exercise |