Prerequisite: Attendees will need a laptop computer with specific software installed prior to the session. In advance of the class, they will receive detailed instructions for software download and installation.

Python is one of the top languages used in data science and predictive analytics. In this hands-on course, we will use Jupyter notebooks to learn and develop Python code. Jupyter notebooks are widely used for data analysis and exploration projects. By the end of this workshop, you will have learned how to create and use Jupyter notebooks, how to load data from various sources, how to explore the data, how to discover and replace bad values, how to run analysis on the data and subgroups of the data, and how to produce basic visualizations. You will leave with complete code examples that you can use and build on in your own work.

Geared To

• Individuals with basic Python experience who are new to using Python for data analysis

Laptop Setup

Students must bring their own laptop to the class.

Machine Requirements:

• Linux, OS X, or Windows
• 32- or 64-bit computer
• 8 MB available RAM
• 600 MB available hard drive space to download and install Anaconda
  (We use Anaconda because it is a free, no-hassle way to install Python and the needed libraries.)