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?
• How have athlete ages and physiques evolved over time?
• Are female athletes growing faster in participation than males?
• Which sports produce the most champions?
• Do athletes over 50 still win medals?

What You Will Learn

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

• Work with Spark DataFrames and Spark SQL
• Load real datasets using Apache Zeppelin Notebooks
• Write advanced SQL queries for aggregation, filtering, and joins
• Visualize results using Zeppelin bar charts and line charts
• Analyze Age, Height, Weight, Gender & Medal trends across decades
• Build a portfolio-ready Olympic Analytics Dashboard

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
• Students learning Spark & SQL through real projects
• Anyone who prefers hands-on learning over theory

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!

• Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer

• Apache Spark basic fundamental knowledge is required and SQL Basics
• Following browsers on Windows and macOS desktop:
• Google Chrome (Latest version), Firefox (Latest version), Safari (Latest version), Microsoft Edge* (Latest version)
• Internet Explorer 11* on Windows 7, 8, or 10 (with latest Windows updates applied)
• *You might see performance degradation for some features on Microsoft Edge and Internet Explorer.
• The following browsers are not supported:
• Mobile browsers.
• Beta, “preview,” or otherwise pre-release versions of desktop browsers.