• Set up a free Databricks account and launch a Spark cluster for analytics projects.
• Navigate and use Apache Spark notebooks effectively for data analysis.
• Load, structure, and explore datasets using Spark DataFrames.
• Perform real-world analytics on Olympic Games data, including:
• Age, height, and weight distribution of medal-winning athletes.
• Women’s medal trends over the years.
• Top medal-winning countries and sports.
• Gold, Silver, and Bronze medal distribution analysis.
• Athlete demographics and performance patterns over time.
• Create data visualizations to present insights from Spark outputs.
• Publish Spark notebooks to the web to share project results.
• Build a portfolio-ready Spark project demonstrating end-to-end data analytics skills.

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!

Who this course is for:

• Beginners looking to learn Apache Spark through a practical project.
• Students or professionals interested in data analytics and data science.
• Aspiring Data Engineers or Data Analysts who want to build portfolio-ready projects.
• Anyone interested in sports analytics or analyzing Olympic Games data.
• Learners who prefer hands-on, project-based learning over theory-only courses.