Learning Outcomes

Upon successful completion of this course, you should be able to:

• Identify the different types of string functions in Python
• Outline examples of descriptive statistics tools
• Describe the components of a comprehensive data dictionary
• Demonstrate the three methods of treating outliers
• Handle and interpret qualitative variables in a linear model
• Explain how to open Jupyter Notebook
• Discuss the essential libraries in Python
• Provide examples of qualitative data variable