Description
What you’ll learn
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Understand and explore the World Development Indicators dataset from the World Bank.
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Set up and configure a free Databricks account and Spark cluster for analytics.
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Work with Spark DataFrames to load, transform, and analyze real-world datasets.
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Apply Spark SQL and DataFrame operations to generate development insights.
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Analyze GINI Index, GDP per capita, literacy rates, life expectancy, poverty rates, infant mortality, and trade statistics across countries.
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Compare development trends between rich vs. poor countries over decades.
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Perform country-level and global analytics using Spark.
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Visualize global development metrics and publish Spark notebooks for sharing insights.
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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:
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Set up Spark and Zeppelin on your system (Windows, Ubuntu, or Docker)
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Load and explore massive datasets with Spark DataFrames
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Write Spark SQL queries to analyze GDP, literacy, poverty, trade, population, life expectancy, urbanization, and more
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Build interactive visualizations and dashboards in Zeppelin
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Compare economic and social development patterns across countries, regions, and decades
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Deliver a resume-ready Spark project that you can showcase in interviews
 
What makes this course different?
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Practical, project-based approach: Learn Spark by solving real-world questions.
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Step-by-step guidance: Easy to follow, even if you’re new to Spark.
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Comprehensive coverage: From environment setup → to data exploration → to insights.
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Portfolio-ready project: By the end, you’ll have a complete Spark + Zeppelin project to demonstrate your skills.
 
Who is this course for?
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Beginners who want to break into Big Data and Analytics with a hands-on project.
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Data engineers & data analysts looking to strengthen their Spark SQL and Zeppelin skills.
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Job seekers & interview candidates who need a portfolio project to stand out.
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Anyone interested in exploring global development trends through the power of big data.
 
Real-World Case Studies Covered
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Gini Index (Income Inequality)
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Youth Literacy Rates
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GDP per Capita (PPP) for India & China
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Trade, Imports & Exports Analysis
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Poverty Alleviation Trends
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Life Expectancy in India, China & France
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Urbanization & Infant Mortality Studies
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Richest vs Poorest Countries (1962 vs 2014)
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Birth Rates in G7 Countries
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Global Per Capita Income in 2013
 
By the end of this course, you will be able to:
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Confidently work with Apache Spark, Spark SQL, and Zeppelin.
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Perform advanced data analysis on large, real-world datasets.
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Build interactive notebooks and dashboards for visualization.
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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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