Apache Spark Project World Development Indicators Analytics

Apache Spark Project World Development Indicators Analytics, available at $34.99, has an average rating of 4.55, with 33 lectures, based on 125 reviews, and has 36439 subscribers.

You will learn about In this course you will learn to Analyze data (World Development Indicators data) in Apache Spark using Databricks Notebook (Community edition) World Development Indicators from the World Bank contain over a thousand annual indicators of economic development from hundreds of countries around the world. 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 World Development Indicators Analytics project 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: Apache Spark Project World Development Indicators Analytics

Summary

Title: Apache Spark Project World Development Indicators Analytics

Price: $34.99

Average Rating: 4.55

Number of Lectures: 33

Number of Published Lectures: 33

Number of Curriculum Items: 33

Number of Published Curriculum Objects: 33

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

In this course you will learn to Analyze data (World Development Indicators data) in Apache Spark using Databricks Notebook (Community edition)
World Development Indicators from the World Bank contain over a thousand annual indicators of economic development from hundreds of countries around the world.
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
World Development Indicators Analytics project 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 Apache Spark course you will learn to Analyze data (World Bank Dataset) 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) World Development Indicators Analytics Project a real world examples.

4) Graphical Representation of Data using Databricks notebook.

5) Publish the Project on Web to Impress your recruiter

6) Hands-on learning

About Databricks:

Databricks lets you start writing Spark queries instantly so you can focus on your data problems.

Lets discover more about the World Development Indicators Analytics Project using Apache Spark

Data:

The World Development Indicators from the World Bank contain over a thousand annual indicators of economic development from hundreds of countries around the world.

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: Tips to Improve Your Course Taking Experience

Lecture 5: Importing Databricks Notebook

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: GINI Index

Lecture 12: Youth Literacy Rate

Lecture 13: Trade as a percentage of GDP for China and India

Lecture 14: Exports of goods and services

Lecture 15: Import of goods and services

Lecture 16: GDP per capita

Lecture 17: Poverty Alleviation

Lecture 18: Life Expectancy at birth, total (years)

Lecture 19: Urban Population growth

Lecture 20: Infant Mortality

Lecture 21: The 10 Countries with Lowest Average Income in 1962/2014

Lecture 22: The 10 Countries with Highest Average Income

Lecture 23: Average Income from 1960-2014 in Rich Countries

Lecture 24: Average Income from 1960-2014 in Poor Countries

Lecture 25: Average Income in 1962

Lecture 26: Average Income in 2014

Lecture 27: Life Expectancy in France 1960-2013

Lecture 28: G-7 Country Birth Rates 1960-2013

Lecture 29: World Per Capita Income in 2013

Lecture 30: Publish Notebook to the Web

Lecture 31: Bonus Lecture

Instructors

Bigdata Engineer
Bigdata Engineer

Rating Distribution

1 stars: 6 votes
2 stars: 10 votes
3 stars: 25 votes
4 stars: 37 votes
5 stars: 48 votes

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