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 our own work.
- Individuals with basic Python experience who are new to using Python for data analysis
- Linux, OS X, or Windows
- 32- or 64-bit computer
- 8MB 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. Instructions for download will be provided upon registration).