Analyzing and Visualizing Data

with Python

Cornell Course

In order to be useful within a professional environment, data must be structured in a way that can be understood and applied to real-world scenarios. This course introduces using Python to perform statistical data analysis and create visualizations that uncover patterns in your data. Using the tools and workflows you developed in earlier courses, you will carry out analyses on real-world datasets to become familiar with recognizing and utilizing patterns. Finally, you will form and test hypotheses about your data which will become the foundation upon which data-driven decision-making is built.

You are required to have completed the following courses or have equivalent experience before taking this course:

• Constructing Expressions in Python
• Writing Custom Python Functions, Classes, and Workflows
• Developing Data Science Applications
• Creating Data Arrays and Tables in Python
• Organizing Data with Python