This repository contains the solution for case studies in DataCamp!
To complete this case study I used data sets, script.py and IPython Shell.
This case involves a comprehensive exploration of marketing metrics, data analysis, and visualization techniques commonly used to assess and improve marketing campaigns.
Check out my solution on GitHub
馃幆馃幆馃幆 The key analyzing question to answer are the following:
- Which marketing channels (e.g., social media, email, PPC) are most effective in driving conversions?
- How effective are our different marketing campaigns in achieving their goals?
- How do our marketing metrics (conversion, retention) change over time?