Customer churn costs telecom companies billions every year, and predicting who will leave before they actually do is a superpower. This project based course teaches you to build that exact prediction system using Apache Spark and Databricks. You will work with a real telecom dataset, clean and prepare it at scale, then train machine learning models that identify at risk customers. No local setup is required because everything runs through a free Databricks account.

This Course Offers

• A complete churn prediction pipeline you can add to your portfolio, from raw data to business insights.
• Hands on experience with Spark DataFrames and MLlib without installing anything on your computer.
• Feature engineering techniques tailored for customer behavior data like usage patterns and complaint history.
• Model evaluation skills that help you explain predictions to non technical stakeholders.

Why We Love This Course

1. It starts from absolute zero with Spark. You learn what a cluster is, how a notebook works, and why DataFrames matter before writing a single line of prediction code.
2. The project mirrors real industry work. Telecom companies use these exact methods to reduce churn, and the same pipeline applies to finance, ecommerce, or healthcare.
3. You get a free Databricks account for the course. No wrestling with local Spark installations or memory errors on your laptop.
4. The instructor includes interpretation steps. Many courses stop at accuracy scores, but this one shows you how to translate predictions into retention offers that actually help the business.

The course was updated in April 2026, so the Databricks interface and Spark version reflect current tools. If you have been meaning to learn big data machine learning but felt overwhelmed by setup and scale, this project gives you a safe place to start.

• Beginners in big data and machine learning who want a hands on project for their resume.
• Data engineers and data scientists looking to apply Spark ML to a realistic business problem.
• Students or graduates eager to showcase a complete prediction pipeline in their portfolio.
• Software developers transitioning into data engineering or ML roles.
• Telecom professionals who want to understand how data science can help reduce churn.
• Anyone curious about how Apache Spark solves machine learning problems at scale.

• No prior experience with Spark is required. Everything is explained step by step.
• Basic knowledge of Python is helpful but not mandatory.
• A general understanding of introductory machine learning concepts is useful.
• Just a computer with internet access and a willingness to learn by doing.

Interested in exploring more business lessons? Check out our full course library to continue building your skills and advancing your learning journey.