Apache Spark Project World Development Indicators Analytics

World Development Indicators Analytics Project in Apache Spark for beginner using Databricks (Unofficial)

Created by: Bigdata Engineer
Bigdata Engineer

What Will I 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
• Data Collection & Preprocessing: Handle and prepare large-scale World Bank and UN datasets for analytics.
• Exploratory Data Analysis (EDA): Discover trends and insights in key indicators like GDP, literacy rates, life expectancy, and more.
• Scalable Data Processing: Use Apache Spark to manage and analyze large datasets efficiently and effectively.
• Visualization & Reporting: Create compelling visualizations and reports that present development trends and insights clearly.
• Impactful Insights: Translate analytics into actionable strategies for tackling real-world development challenges.

Requirements

• 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.

Target audience

• Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer
• Data Analysts & Scientists interested in applying analytics to global development problems.
• Big Data Professionals looking to expand their skillset with Apache Spark in a meaningful project.
• Students & Researchers eager to leverage data science for social impact and policy analysis.