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Apache Spark Project World Development Indicators Analytics
World Development Indicators Analytics Project in Apache Spark for beginner using Databricks (Unofficial)
This Course Includes
udemy
4 (132 reviews )
1h 13m 
english
Online - Self Paced
professional certificate
Udemy
About Apache Spark Project World Development Indicators Analytics
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:
What is the
GINI Index
across countries, and what does it reveal about inequality?
How do
youth literacy rates
compare worldwide?
How do
China and India
perform in terms of
trade as % of GDP
?
Which are the
richest and poorest countries
, and how have they changed between
1960 and 2014
?
How do
life expectancy, infant mortality, and urban population growth
vary across countries?
How has
GDP per capita
evolved in rich vs poor countries over decades? By the end of this project, you’ll be able to:
Load and analyze large-scale structured datasets with Spark
Apply Spark DataFrame APIs to generate development insights
Perform country-level comparative analytics.
Publish and share
Databricks notebooks
as reports.
Build confidence in tackling
real-world Spark projects
. 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.
What You Will 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..