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
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.
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.
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
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.
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.