Corporate Finance Institute – Python Fundamentals Case Study
Take on the role of a data analyst using Python to answer a series of business questions.
- Import, transform, and clean raw data in Python
- Analyze real-world data to provide answers to business questions
- Visualize the data to generate insights and support decision making
In this case study, you’ll be placed into the role of a data analyst at a clothing retail company. You’ll be helping them to understand their sales patterns, transactions, and information about their products by exploring multiple data frames.
Through this case, you’ll answer business questions and develop visualizations to take back to business leaders for their decision-making. This case study uses the knowledge you gained in Python Fundamentals to test your skills on the job.
This Python case study is perfect for those who want to put their knowledge about Python into practice with selected, real-life scenarios. This makes the course a great follow-up to CFI’s Python Fundamentals.
What You’ll Learn In Python Fundamentals Case Study?
- Write and execute Python code to create variables, generate outputs, apply various operators, and manipulate different types of data
- Capture and transform data using the Numpy and Pandas packages
- Respond to a range of business questions from simple to complex
- Visualize data to share insights to business leadership
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