Telecom Customer Churn Prediction in Apache Spark (ML)

Learn Apache Spark machine learning by creating a Telecom customer churn prediction project using Databricks Notebook

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Understand the fundamentals of Apache Spark and its ecosystem.
Create and manage a free Databricks account and provision Spark clusters.
Work with notebooks and DataFrames to handle large datasets.
Perform data exploration and preprocessing for machine learning tasks.
Apply feature engineering techniques to prepare data for modeling.
Build, train, and evaluate machine learning models using Spark ML.
Develop a complete Telecom Customer Churn Prediction pipeline.
Interpret churn prediction results to provide business insights.
Gain a real-world project that can be showcased in your portfolio.
Build confidence in applying Spark ML to solve industry use cases in telecom, finance, e-commerce, and beyond.

Basic knowledge of Python or Scala programming (helpful but not mandatory).
A general understanding of machine learning concepts (introductory level).
No prior experience with Spark is required—everything is explained step by step.
A computer with internet access to use Databricks (free account provided).
Willingness to learn by doing through a hands-on real-world project.

Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!

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