Olympic Games Analytics Project in Apache Spark for beginner

Olympic Games Analytics Project in Apache Spark for beginner, available at $34.99, has an average rating of 3.88, with 25 lectures, based on 108 reviews, and has 25471 subscribers.

You will learn about 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 This course is ideal for individuals who are Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer It is particularly useful for Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer.

Enroll now: Olympic Games Analytics Project in Apache Spark for beginner

Summary

Title: Olympic Games Analytics Project in Apache Spark for beginner

Price: $34.99

Average Rating: 3.88

Number of Lectures: 25

Number of Published Lectures: 25

Number of Curriculum Items: 25

Number of Published Curriculum Objects: 25

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

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

Who Should Attend

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

Target Audiences

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

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.

Lets 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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Download Resources

Lecture 1: Download Resources

Chapter 3: Project Begins

Lecture 1: File level details

Lecture 2: (Old) Free Account creation in Databricks

Lecture 3: (New) Free Account creation in Databricks

Lecture 4: Importing Databricks Notebook

Lecture 5: Tips to Improve Your Course Taking Experience

Lecture 6: Overview and Project Objective

Lecture 7: File Content Explaination

Lecture 8: Launch Spark Cluster

Lecture 9: Spark Notebook Basics

Lecture 10: Loading data into Spark Dataframe

Lecture 11: Distribution of the age of gold medalists

Lecture 12: Gold Medals for Athletes Over 50 based on Sports

Lecture 13: Women medals per edition(Summer Season) of the Games

Lecture 14: Top 5 Gold Medal Countries

Lecture 15: Disciplines with the greatest number of Gold Medals

Lecture 16: Height vs Weight of Olympic Medalists

Lecture 17: Variation of Male/Female Athletes over time

Lecture 18: Variation of (Age/Weight/Height) for Male/Female Athletes over time

Lecture 19: Weight over year for Male/Female Gymnasts

Lecture 20: Weight/Height over years for Male/Female Lifters

Lecture 21: Gold/Silver/Bronze Medals based on Countries

Lecture 22: Publish Notebook to the Web

Lecture 23: Bonus Lecture

Instructors

Bigdata Engineer
Bigdata Engineer

Rating Distribution

1 stars: 4 votes
2 stars: 10 votes
3 stars: 18 votes
4 stars: 35 votes
5 stars: 41 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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