Build Spark Machine Learning and Analytics (5 Projects)

About this course

Are you ready to take your Machine Learning and Big Data Analytics skills to the next level?

This hands-on, project-based course is designed to teach you how to build real-world Machine Learning and Analytics projects using Apache Spark 3.0 on Databricks.

Instead of just learning theory, you’ll gain practical, job-ready experience by working on 5 end-to-end projects across multiple domains such as eCommerce, Banking, Shopper Purchase Intent Prediction, Web Analytics, and Predictive Analytics.

Apache Spark has become the industry standard for large-scale data processing and machine learning. With Spark MLlib, you can build scalable models that handle massive datasets efficiently. In this course, you will not only learn how to use Spark MLlib but also get hands-on practice with Regression, Classification, and Predictive Analytics techniques.

By the end of this course, you will be confident in building, training, evaluating, and deploying Spark Machine Learning pipelines—skills that are highly in demand for Data Engineers, Data Scientists, and Machine Learning Engineers.

What makes this course unique?5 Real-World Projects: Each section is a complete project covering data preprocessing, model building, evaluation, and interpretation.

Hands-On with Databricks: Learn how to set up a free Databricks account and run your projects on a real Spark Cluster.

Step-by-Step Guidance: Even if you’re a beginner, you’ll be guided through every step, from setting up notebooks to building complex ML models.

Multiple Domains Covered: Projects span eCo

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