Clickstream Case Study Through Python Intro

Clickstream Case Study Through Python

Learn the tips & tricks of measuring the performance of a website or an app, and perform funnel analysis of the user journey.


Learn the following Python Concepts:

  • How to get N rows of data in Python
  • How to use Aggregate Functions in Python
    • Count, Count Distinct, Sum, Maximum, Minimum etc.
  • How to Group data and aggregate in Python
  • How to combine Grouping and Sorting in Python
  • How to use Mathematical Functions on Aggregate Values in Python
  • How to do time-series analysis of a metric in Python
  • How to build a funnel analysis in Python
  • How to convert an aggregate column to percentage in Python

Learn the following Concepts about Clickstream Analytics:

  • Understand the user journey on an online platform through various clickstream metrics
  • How to analyze the overall number of visits on a website or app
  • What is Overall order conversion rate (most important online metric) and how to calculate it
  • How to analyze the cart conversion rate for a website or app
  • How to calculate the Bounce Rate for any online platform
  • How to build your own funnel analysis for a specific user journey
  • How to analyze the checkout abandonment rate for a website or app


Complete and Continue