What is the webinar about?

This webinar will walk you through Jupyter Notebook and Pandas and how they can help solve some of the typical problems associated with getting going on your customer analytics project.

What are Jupyter and Pandas?

The Jupyter Notebook is a web application that allows you to create and share documents that contain executable code, equations, visualizations and explanatory text.

Jupyter notebooks, combined with the Python Pandas library, are quickly becoming established and de facto tools for the modern data scientist because of their ease of use, repeatability of commands, and flexibility for data explorations.

What will you learn?

• What data science problems are important to address for analyzing your customer behavior data?
• What are Jupyter notebooks?  How do they work with Python?
• What is Pandas? Why is this library great for performing analyzing your customer behavior data?
• What are the challenges associated with collecting & accessing customer behavior data?
• How do all of the above work together?

We’ll also explore some of the typical data-consumption headaches people encounter when using these technologies with large data sets and present some custom solutions for solving them.