Are you ready to learn Apache Spark the practical way — by analyzing 120+ years of real Olympic Games data?

In this hands-on project-based course, you’ll use Apache Spark, Spark SQL, and Apache Zeppelin to explore the world’s most exciting sports dataset — the Olympic Games Dataset, containing information on athletes, countries, events, medals, ages, genders, heights, and weights spanning from 1896 to recent editions.

Instead of learning Spark through boring theory, you’ll build a complete analytics project step by step, uncovering insights like:

• Which countries dominate Olympic Gold medals?

What You Will Learn

By the end of this course, you’ll confidently be able to:

• Work with Spark DataFrames and Spark SQL

Tools You’ll Use

Tools                                             Purpose

Apache Spark                              Big Data Processing

Spark SQL                                    Querying and Analysis

Apache Zeppelin                         Interactive Notebooks & Visualization

Docker / Java                              Environment Setup

Don’t worry if you’ve never installed Spark before — we guide you through Java installation, Docker setup, Zeppelin configuration, and Spark Interpreter connection — all step by step.

Who is This Course For?

This course is beginner-friendly and perfect for:

• Aspiring Data Engineers / Analysts

No prior Spark experience is required — just basic familiarity with SQL or Python is enough to get started.

Final Output — A Real Big Data Analytics Project

By the end, you’ll build and present a complete Olympic Analytics Project — something you can proudly showcase on LinkedIn, GitHub, or your Resume.

If you want to master Apache Spark with a fun, engaging, and real-world dataset — this course is for you.

Enroll now and let’s analyze Olympic history with Big Data power!