⚡ Limited seats — grab fast

$19.99 Free
Get Free Coupon
Coupon Verified

Olympic Games Analytics Project in Apache Spark for beginner

4.60
0 students
Updated Apr 2026

Course Description

In this course you will learn to Analyze data (Olympic Game) in Apache Spark using Databricks Notebook (Community edition), 1) Basics flow of data in Apache Spark, loading data, and working with data, this course shows you how Apache Spark is perfect for Big Data Analysis job. 2) Learn basics of Databricks notebook by enrolling into Free Community Edition Server 3) Olympic Games Analytics a real world examples. 4) Graphical  Representation of Data using Databricks notebook.5) Hands-on learning6) Real-time Use Case7) Publish the Project on Web to Impress your recruiter About Databricks: Databricks lets you start writing Spark queries instantly so you can focus on your data problems.Lets discover more about the Olympic Games using Apache SparkData:Data exploration about the recent history of the Olympic GamesWe will explore a dataset on the modern Olympic Games, including all the Games from Athens 1896 to Rio 2016.
Resilience Patterns in Microservice Architecture: Hands-On
FREE
Development Expires soon

Resilience Patterns in Microservice Architecture: Hands-On

4.8 (0) 7k 11h 3m All Levels 🌐 English
$19.99 FREE
Get Free

⚡ Limited seats — grab it fast

Crea una Calculadora de Precios con Pasarela de Pagos 2025
FREE
Development Expires soon

Crea una Calculadora de Precios con Pasarela de Pagos 2025

0.0 (0) 🌐 Spanish
$84.99 FREE
Get Free

⚡ Limited seats — grab it fast

Python Programming for Beginners: Learn Python from Scratch
FREE
Development Expires soon

Python Programming for Beginners: Learn Python from Scratch

4.3 (0) 37.9k 6h 7m All Levels 🌐 English
$19.99 FREE
Get Free

⚡ Limited seats — grab it fast

Olympic Games Analytics Project in Apache Spark for beginner

$19.99

Free

100% Off
Get Coupon Code Save for Later

Limited coupon seats — once all free spots are claimed, Udemy may show the full price. Grab it early!

Course Details

  • Level All Levels
  • Lectures 1
  • Duration