Name: Apache Spark Project World Development Indicators Analytics
Availability: InStock

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.

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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