Telecom Churn Analysis – Power BI + SQL + ML

Unlock the power of data analytics by mastering churn analysis in this comprehensive course. You’ll learn how to implement a full end-to-end data project, leveraging SQL, Power BI, and Python to predict and visualize customer churn. Designed for both data enthusiasts and professionals, this course will walk you through each crucial step, helping you build a solid foundation in churn analysis.

Course Topics:

1. ETL Process in SQL Server – Extract, Transform, and Load (ETL) your data efficiently using SQL Server.
2. Data Cleaning in SQL Server – Learn best practices for cleaning and preparing your data for analysis.
3. Power BI Transformations – Perform advanced data transformations to prepare your data for reporting.
4. Power BI Visualization & Enhancing Visuals – Create stunning visualizations and enhance reports to tell compelling data stories.
5. Build a Machine Learning Model in Python – Use Jupyter Notebook and Random Forest algorithm to build a predictive model for customer churn.
6. Visualize Predicted Data in Power BI – Combine the power of machine learning and Power BI to profile and visualize customers likely to churn.

By the end of this course, you’ll be able to perform your own churn analysis using industry-standard tools and techniques, boosting your data analytics skills and making actionable insights from your data.