Python Tools for Data Analysis and Visualization

Python programming is relatively quick to learn and has a great set of tools for importing, transforming, exploring, extracting insights from, making predictions with, and exporting the data. This course introduces the major Python tools used for preparing the data for analysis, the tools available for understanding the data, and using the data for insights and predictions. All class work and exercises are done in Python 3.x. Also, through a series of hands-on exercises, participants will learn to turn data into actionable information.

Program Objectives:

• Learn how to use Jupyter notebooks.
• Learn how to work with NumPy datatypes.
• Be proficient in pandas Series.
• Be proficient in pandas DataFrames.
• Understand how to use data visualization.
• Know how to import and clean data.
• Introduce statistical tools for working with data sets.
• An introduction to the problems of working with PDF data sources.
• Introduce machine learning tools for working with data sets.