Why this course?

Description

Heart Attack and Diabetes Prediction Project in Apache Spark

Are you curious about how Big Data and Machine Learning can be applied to solve real-world healthcare problems?
Do you want to learn how to use Apache Spark to build end-to-end prediction projects for critical conditions like heart disease and diabetes?

This project-based course is designed to give you hands-on experience in applying Apache Spark with Machine Learning to build predictive models that can analyze patient health data and predict the likelihood of disease.

You won’t just learn theory — you’ll work step by step on two real-world healthcare prediction projects:

• Heart Attack Prediction Project
• Diabetes Prediction Project

 

By the end of the course, you will have the practical knowledge to ingest, process, and analyze medical data at scale using Spark, and build predictive models that can be applied to real-life scenarios.

What makes this course unique?

• Hands-on Projects – You will build two healthcare prediction projects from scratch.
• Step-by-step Guidance – From Spark basics to advanced ML modeling.
• Industry-Relevant Skills – Learn how Spark is applied to healthcare and big data analytics.
• Databricks Environment – You’ll get free access to Databricks to run Spark projects without complex installations.

 

What’s inside the course?

Section 1 & 2: Getting Started

Introduction, downloading resources, and environment setup on Databricks.

Section 3: Project Basics

Learn Apache Spark fundamentals, creating clusters, working with notebooks, DataFrames, and basics of Machine Learning.

Section 4: Heart Attack Prediction Project

Build your first Spark ML project step by step: data preprocessing, model building, evaluation, and predictions.

Section 5: Diabetes Prediction Project

Apply your skills to another real-world healthcare dataset and build a prediction model for diabetes.

 

By the end of this course, you will:

• Understand how to use Apache Spark for Machine Learning projects.
• Build real-world prediction models for healthcare datasets.
• Get hands-on practice with Spark DataFrames, ML pipelines, and model evaluation.
• Use Databricks to create and manage Spark clusters for project execution.
• Gain the confidence to apply Spark in other domains such as finance, retail, and telecom.

 

This is a perfect project-based course if you want to strengthen your Spark + ML skills and also work on impactful healthcare problems.