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
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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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