World Development Indicators Analytics Project in Apache Spark for beginners using Databricks (Unofficial)
This course includes:
- 1-hour of on-demand video
- 2 articles
- 3 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
4.4
(68 ratings)
18,772 students
Created by Bigdata Engineer
What you’ll 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 a Big Data Analysis job.
- Learn the basics of Databricks notebook by enrolling in Free Community Edition Server
- World Development Indicators Analytics project real-world examples.
- Graphical Representation of Data using Databricks notebook.
- Transform structured data using SparkSQL and DataFrames
- Publish the Project on the Web to Impress your recruiter
Course content
3 sections • 32 lectures • 1h 11m total lengthCollapse all sections
Introduction1 lecture • 2min
- IntroductionPreview02:17
Download Resources1 lecture • 1min
- Download Resources00:04
Project Begins30 lectures • 1hr 9min
- File-level detailsPreview00:53
- (Old) Free Account creation in DatabricksPreview01:51
- (New) Free Account creation in Databricks01:50
- Importing Databricks Notebook02:03
- Overview and Project ObjectivePreview01:51
- File Content Explaination02:32
- Launch Spark Cluster02:14
- Spark Notebook Basics06:30
- Loading data into Spark DataframePreview08:50
- GINI Index06:14
- Youth Literacy Rate04:38
- Trade as a percentage of GDP for China and India02:43
- Exports of goods and services03:01
- Import of goods and services01:36
- GDP per capita01:52
- Poverty Alleviation01:04
- Life Expectancy at birth, total (years)01:38
- Urban Population growth01:32
- Infant Mortality01:15
- The 10 Countries with Lowest Average Income in 1962/201402:08
- The 10 Countries with Highest Average Income01:10
- Average Income from 1960-2014 in Rich Countries01:58
- Average Income from 1960-2014 in Poor Countries01:32
- Average Income in 196201:10
- Average Income in 201401:20
- Life Expectancy in France 1960-201301:08
- G-7 Country Birth Rates 1960-201301:14
- World Per Capita Income in 201301:14
- Publish Notebook to the WebPreview01:16
- Bonus Lecture00:52
Requirements
- Apache Spark basic fundamental knowledge is required and SQL Basics
- Following browsers on Windows and macOS desktops:
- Google Chrome (Latest version), Firefox (Latest version), Safari (Latest version), Microsoft Edge* (Latest version)
- Internet Explorer 11* on Windows 7, 8, or 10 (with the 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.
Description
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 a Big Data Analysis job.
2) Learn the basics of Databricks notebook by enrolling in Free Community Edition Server
3) World Development Indicators Analytics Project is a real-world example.
4) Graphical Representation of Data using Databricks notebook.
5) Publish the Project on the 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.
Let’s 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.
Who this course is for:
- Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer
