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Easy Learning with Apache Spark Project World Development Indicators Analytics
Development > Software Engineering
5.5 h
£14.99 £12.99
3.9 ★★★★★
38810 students

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Language: English

Master Apache Spark: Big Data Analysis with World Development Indicators

What you will learn:

  • Analyze World Bank's World Development Indicators data using Apache Spark and Databricks.
  • Master the fundamental data flow in Apache Spark: data loading, manipulation, and analysis.
  • Utilize Databricks (Community Edition) for efficient and interactive Spark development.
  • Perform exploratory data analysis (EDA) on large datasets using SparkSQL and DataFrames.
  • Generate impactful visualizations to communicate data-driven insights.
  • Build a portfolio-ready Apache Spark project analyzing global development indicators.
  • Transform structured data using SparkSQL and DataFrames.
  • Publish your project to the web to showcase your skills.
  • Gain practical experience in data collection, preprocessing, and scalable data processing.
  • Translate data analysis into actionable strategies for addressing real-world development challenges.

Description

Dive into the world of big data analytics with our comprehensive course on Apache Spark! Using the World Bank's World Development Indicators dataset and the user-friendly Databricks platform (Community Edition), you'll master essential Spark skills through a practical, project-based approach.

This course isn't just theory; it's a hands-on journey. You'll learn the fundamental data flow within Apache Spark, from data loading and manipulation to insightful visualizations. We'll guide you through building a complete analytical project, exploring key indicators like GDP, literacy rates, and life expectancy to uncover compelling global development trends.

This course is designed to take you from Spark novice to capable analyst. You'll gain experience with SparkSQL and DataFrames for data transformation, create impactful visualizations within Databricks, and finally, publish your project online—a perfect addition to your portfolio to impress potential employers.

Key Features:

  • Real-World Project: Analyze the World Development Indicators dataset to gain practical experience.
  • Databricks Mastery: Learn to use Databricks (Community Edition) for efficient Spark development.
  • Data Visualization: Create impactful charts and graphs to communicate your findings.
  • Portfolio-Ready Project: Publish your finished project to showcase your newfound skills.
  • Beginner-Friendly: Designed for those with little to no prior experience with Apache Spark.

Whether you're a data analyst, researcher, student, or simply curious about big data, this course provides the skills and a compelling project to advance your career or expand your knowledge. Enroll now and unlock the power of data for global development!

Curriculum

Introduction

This introductory section lays the groundwork for the entire course. The 'Introduction' lecture provides a general overview of the course content and objectives, setting the stage for the project. The brief 'Download Resources' lecture then guides students in downloading the necessary materials to proceed with the course.

Project Begins

This section dives into the core of the project. Lectures cover essential setup steps, including account creation on the Databricks platform (both old and new account creation methods are explained) and importing the necessary Databricks Notebook. Students will gain an understanding of project objectives, file content, and learn the basics of launching a Spark cluster and navigating the Spark Notebook environment. Comprehensive lectures on loading data into a Spark DataFrame and fundamental Spark Notebook operations are also included. In addition, crucial tips to maximize learning from the course are provided.

World Development Indicators Analysis

This section forms the heart of the course, focusing on analyzing the World Development Indicators dataset. Each lecture tackles a specific indicator: GINI Index, Youth Literacy Rate, Trade as a percentage of GDP, Exports and Imports of goods and services, GDP per capita, Poverty Alleviation, Life Expectancy, Urban Population Growth, Infant Mortality, and various analyses comparing average income across different countries and time periods (including 10 richest vs. 10 poorest countries). Lectures also include visualizations of life expectancy in France, birth rates in G7 countries, and per capita income. All these analyses build a comprehensive understanding of global development trends and data analysis techniques.

Project Deployment

This concluding section shows how to share your hard work. The final lecture demonstrates how to publish the completed Databricks notebook to the web, making it easily shareable and presentable to potential employers or collaborators. A bonus lecture offers additional insights or supplementary information to enhance the overall learning experience.