
World Development Indicators Analytics Project in Apache Spark for beginner using Apache Zeppelin and Databricks
Course Description
Apache Spark Project: World Development Indicators Analytics
Are you ready to take your Apache Spark and Big Data skills to the next level by working on a real-world analytics project?
In this hands-on course, we’ll use Apache Spark, Spark SQL, and Apache Zeppelin to analyze one of the most important and widely used datasets in the world — the World Bank’s World Development Indicators (WDI). Covering over 200 countries, 50+ years of data, and hundreds of economic, social, demographic, health, and environmental indicators, this project is the perfect way to apply your Spark skills to real-world problems.
You’ll learn step by step how to:
Set up Spark and Zeppelin on your system (Windows, Ubuntu, or Docker)
Load and explore massive datasets with Spark DataFrames
Write Spark SQL queries to analyze GDP, literacy, poverty, trade, population, life expectancy, urbanization, and more
Build interactive visualizations and dashboards in Zeppelin
Compare economic and social development patterns across countries, regions, and decades
Deliver a resume-ready Spark project that you can showcase in interviews
Set up Spark and Zeppelin on your system (Windows, Ubuntu, or Docker)
Load and explore massive datasets with Spark DataFrames
Write Spark SQL queries to analyze GDP, literacy, poverty, trade, population, life expectancy, urbanization, and more
Build interactive visualizations and dashboards in Zeppelin
Compare economic and social development patterns across countries, regions, and decades
Deliver a resume-ready Spark project that you can showcase in interviews
What makes this course different?
Practical, project-based approach: Learn Spark by solving real-world questions.
Step-by-step guidance: Easy to follow, even if you’re new to Spark.
Comprehensive coverage: From environment setup → to data exploration → to insights.
Portfolio-ready project: By the end, you’ll have a complete Spark + Zeppelin project to demonstrate your skills.
Practical, project-based approach: Learn Spark by solving real-world questions.
Step-by-step guidance: Easy to follow, even if you’re new to Spark.
Comprehensive coverage: From environment setup → to data exploration → to insights.
Portfolio-ready project: By the end, you’ll have a complete Spark + Zeppelin project to demonstrate your skills.
Who is this course for?
Beginners who want to break into Big Data and Analytics with a hands-on project.
Data engineers & data analysts looking to strengthen their Spark SQL and Zeppelin skills.
Job seekers & interview candidates who need a portfolio project to stand out.
Anyone interested in exploring global development trends through the power of big data.
Beginners who want to break into Big Data and Analytics with a hands-on project.
Data engineers & data analysts looking to strengthen their Spark SQL and Zeppelin skills.
Job seekers & interview candidates who need a portfolio project to stand out.
Anyone interested in exploring global development trends through the power of big data.
Real-World Case Studies Covered
Gini Index (Income Inequality)
Youth Literacy Rates
GDP per Capita (PPP) for India & China
Trade, Imports & Exports Analysis
Poverty Alleviation Trends
Life Expectancy in India, China & France
Urbanization & Infant Mortality Studies
Richest vs Poorest Countries (1962 vs 2014)
Birth Rates in G7 Countries
Global Per Capita Income in 2013
Gini Index (Income Inequality)
Youth Literacy Rates
GDP per Capita (PPP) for India & China
Trade, Imports & Exports Analysis
Poverty Alleviation Trends
Life Expectancy in India, China & France
Urbanization & Infant Mortality Studies
Richest vs Poorest Countries (1962 vs 2014)
Birth Rates in G7 Countries
Global Per Capita Income in 2013
By the end of this course, you will be able to:
Confidently work with Apache Spark, Spark SQL, and Zeppelin.
Perform advanced data analysis on large, real-world datasets.
Build interactive notebooks and dashboards for visualization.
Showcase your Spark project in interviews and on your resume.
Confidently work with Apache Spark, Spark SQL, and Zeppelin.
Perform advanced data analysis on large, real-world datasets.
Build interactive notebooks and dashboards for visualization.
Showcase your Spark project in interviews and on your resume.
This is not just another Spark course — it’s a career-boosting project that prepares you for the real-world challenges of data engineering and analytics.