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World Development Indicators Analytics Project in Apache Spark for beginners using Databricks (Unofficial)
Language: English
Instructors: Bigdata Engineer
Why this course?
Have you ever wondered how countries are compared in terms of GDP, literacy, life expectancy, trade, or poverty rates? Do you want to analyze and visualize global development data with Apache Spark and build powerful insights that tell the story of the world’s economic and social progress?
Welcome to “Apache Spark Project: World Development Indicators Analytics” — a hands-on, project-based course where you will learn to process, analyze, and visualize real-world datasets that capture the world’s development journey
This course focuses on using Apache Spark (with Databricks) to analyze the World Development Indicators dataset from the World Bank. Through step-by-step guidance, you’ll not only learn Spark DataFrame operations and Spark SQL, but also apply them to real analytics use cases that explore critical development metrics
You’ll start from scratch — setting up your environment, understanding the dataset, and importing notebooks into Databricks
Then, we’ll dive deep into hands-on analytics, answering meaningful questions such as:
By the end of this project, you’ll be able to:
This course is designed to give you practical, job-ready skills in Spark through a globally relevant project that connects data engineering, data analysis, and real-world development insights.
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