Apache Spark Project World Development Indicators Analytics

Requirements

• Apache Spark basic fundamental knowledge is required and SQL Basics
• Following browsers on Windows and macOS desktop:
• Google Chrome (Latest version)
• Firefox (Latest version)
• Safari (Latest version)
• Microsoft Edge* (Latest version)
• Internet Explorer 11* on Windows 7
• 8
• or 10 (with latest Windows updates applied)
• *You might see performance degradation for some features on Microsoft Edge and Internet Explorer.
• The following browsers are not supported:
• Mobile browsers.
• Beta
• “preview,” or otherwise pre-release versions of desktop browsers.

Description

In this Apache Spark course you will learn to Analyze data (World Bank Dataset) in Apache Spark using Databricks Notebook (Community edition),

1) Basics flow of data in Apache Spark, loading data, and working with data, this course shows you how Apache Spark is perfect for Big Data Analysis job.

2) Learn basics of Databricks notebook by enrolling into Free Community Edition Server

3) World Development Indicators Analytics Project a real world examples.

4) Graphical  Representation of Data using Databricks notebook.

5) Publish the Project on Web to Impress your recruiter

6) Hands-on learning

About Databricks:

Databricks lets you start writing Spark queries instantly so you can focus on your data problems.

Lets discover more about the World Development Indicators Analytics Project using Apache Spark

Data:

The World Development Indicators from the World Bank contain over a thousand annual indicators of economic development from hundreds of countries around the world.

Are you passionate about solving global challenges with the power of big data? This project-based course will guide you through building a World Development Indicators Analytics Project using Apache Spark. From tracking economic growth to analyzing health and education trends, development indicators are critical for policymakers, researchers, and organizations aiming to create a positive global impact.

With a hands-on approach, you’ll learn how to process and analyze massive datasets, uncover meaningful patterns, and generate actionable insights. This course empowers you to combine data science with Spark’s distributed computing capabilities to address real-world development questions. Whether you’re a data professional, researcher, or student, this project will showcase your ability to turn raw data into valuable insights for global development.

What You’ll Learn:

• Data Collection & Preprocessing: Handle and prepare large-scale World Bank and UN datasets for analytics.

• Exploratory Data Analysis (EDA): Discover trends and insights in key indicators like GDP, literacy rates, life expectancy, and more.

• Scalable Data Processing: Use Apache Spark to manage and analyze large datasets efficiently and effectively.

• Visualization & Reporting: Create compelling visualizations and reports that present development trends and insights clearly.

• Impactful Insights: Translate analytics into actionable strategies for tackling real-world development challenges.

Real-World Benefits:

• Practical Skills: Learn how to process and analyze global datasets using Spark for high-impact projects.

• Portfolio-Worthy Project: Build a complete analytics project focused on World Development Indicators to showcase your expertise.

• Career Advancement: Position yourself as a data professional capable of driving insights for development and policy-making.

• Global Relevance: Understand and contribute to global challenges with actionable, data-driven insights.

Who Should Enroll:

• Data Analysts & Scientists interested in applying analytics to global development problems.

• Big Data Professionals looking to expand their skillset with Apache Spark in a meaningful project.

• Students & Researchers eager to leverage data science for social impact and policy analysis.

Take your skills to the global stage! Enroll now to master Apache Spark and create an analytics project that drives insights into the world’s most pressing challenges.

Who this course is for:

• Beginner Apache Spark Developer
• Bigdata Engineers or Developers
• Software Developer
• Data Analysts & Scientists interested in applying analytics to global development problems.
• Big Data Professionals looking to expand their skillset with Apache Spark in a meaningful project.
• Students & Researchers eager to leverage data science for social impact and policy analysis.