[100% Off] Apache Spark Project World Development Indicators Analytics
World Development Indicators Analytics Project in Apache Spark for beginner using Databricks (Unofficial)
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.
Requirements
- No prior Spark experience required — this is a beginner-friendly project.
- Basic understanding of Python or SQL will be helpful (but not mandatory).
- Access to a computer with internet connection.
- A free Databricks account (setup is covered step by step in the course).
- Curiosity to learn how data engineering and analytics can provide insights into global development.
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:
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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.
