Free Coupon Code Olympic Games Analytics Project in Apache Spark for beginner 100% OFF

Udemy Free coupon code for Olympic Games Analytics Project in Apache Spark for beginner course taught by Bigdata Engineer, which has 28,742 students and is rated 4.0 out of 123 votes. This course is about 5 hour(s) 30 minute(s) in English and was updated on October 13, 2025. You can use this Udemy course with a free certificate and find the coupon at the bottom of this page.

Olympic Games Analytics Project in Apache Spark for beginner using Apache Zeppelin

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!