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Olympic Games Analytics Project in Apache Spark for Beginner

Olympic Games Analytics Project in Apache Spark for beginner using Databricks (Unofficial)

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 learning

6) Real-time Use Case

7) 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.

Let's discover more about the Olympic Games using Apache Spark

Data:

Data exploration about the recent history of the Olympic Games

We will explore a dataset on the modern Olympic Games, including all the Games from Athens 1896 to Rio 2016.

Goals

  • In this course you will learn to Analyze data (Olympic Game) in Apache Spark using Databricks Notebook (Community edition)
  • Data exploration about the recent history of the Olympic Games using Apache Spark
  • 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.
  • Learn basics of Databricks notebook by enrolling into Free Community Edition Server
  • Olympic Games Analytics a real world examples.
  • Graphical  Representation of Data using Databricks notebook.
  • Transform structured data using SparkSQL and DataFrames
  • Publish the Project on Web to Impress your recruiter

Prerequisites

  • 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.
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Curriculum

  • Introduction
    02:54
    Preview
  • Download Resources
  • File level details
    00:39
    Preview
  • (Old) Free Account creation in Databricks
    01:51
    Preview
  • (New) Free Account Creation in Databricks
    01:50
  • Importing Databricks Notebook
    01:54
  • Overview and Project Objective
    01:54
  • File Content Explaination
    01:50
  • Launch Spark Cluster
    02:14
    Preview
  • Spark Notebook Basics
    05:18
  • Loading data into Spark Dataframe
    15:50
  • Distribution of the age of gold medalists
    04:04
    Preview
  • Gold Medals for Athletes Over 50 based on Sports
    02:09
    Preview
  • Women medals per edition(Summer Season) of the Games
    02:19
  • Top 5 Gold Medal Countries
    02:46
  • Disciplines with the greatest number of Gold Medals
    01:40
  • Height vs Weight of Olympic Medalists
    01:52
  • Variation of Male/Female Athletes over time
    01:59
  • Variation of (Age/Weight/Height) for Male/Female Athletes over time
    03:09
  • Weight over year for Male/Female Gymnasts
    02:18
  • Weight/Height over years for Male/Female Lifters
    01:39
  • Gold/Silver/Bronze Medals based on Countries
    04:56
  • Publish Notebook to the Web
    01:26
  • Thank you
    00:20
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Olympic Games Analytics Project in Apache Spark for Beginner
This Course Includes
  • 1 hours
  • 24 Lectures
  • 3 Resources
  • Completion Certificate
  • Lifetime Access
  • 30-Days Money Back Guarantee

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