Apache Spark Project World Development Indicators Analytics

Last updated on October 28, 2025 8:16 am
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Description

What you’ll learn

  • Understand and explore the World Development Indicators dataset from the World Bank.
  • Set up and configure a free Databricks account and Spark cluster for analytics.
  • Work with Spark DataFrames to load, transform, and analyze real-world datasets.
  • Apply Spark SQL and DataFrame operations to generate development insights.
  • Analyze GINI Index, GDP per capita, literacy rates, life expectancy, poverty rates, infant mortality, and trade statistics across countries.
  • Compare development trends between rich vs. poor countries over decades.
  • Perform country-level and global analytics using Spark.
  • Visualize global development metrics and publish Spark notebooks for sharing insights.
  • Build confidence in handling real-world Spark projects with practical datasets.

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.

Who this course is for:

  • Data Engineers and Data Analysts who want hands-on experience with Apache Spark.
  • Students and Beginners in Big Data who want a guided project to apply Spark in the real world.
  • Aspiring Data Scientists looking to practice analytics on meaningful, real-world datasets.
  • Researchers and Analysts interested in exploring global development metrics with Spark.
  • Professionals preparing for Spark-related roles who want practical project experience to showcase.
  • Anyone curious about using data and analytics to understand world development trends.

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