Olympic Games Analytics Project in Apache Spark for beginner
What you'll learn
- In this course you will learn to Analyze data (Olympic Game) in Apache Spark using Databricks Notebook (Community edition)
- Data exploration about the recent history of the Olympic Games using Apache Spark
- 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.
- Learn basics of Databricks notebook by enrolling into Free Community Edition Server
- Olympic Games Analytics a real world examples.
- Graphical Representation of Data using Databricks notebook.
- Transform structured data using SparkSQL and DataFrames
- Publish the Project on Web to Impress your recruiter
- Data Ingestion & Preprocessing: Load and clean Olympic datasets to prepare them for analysis.
- Exploratory Data Analysis (EDA): Discover trends, performance insights, and medal distributions across countries and events.
- Scalable Data Processing: Use Apache Spark to efficiently process and analyze large-scale sports datasets.
- Visualization & Reporting: Create compelling visualizations and dashboards to present your findings.
- Actionable Insights: Answer real-world questions about athlete performance, country rankings, and historical trends.
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 course you will learn to Analyze data (Olympic Game) 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) Olympic Games Analytics a real world examples.
4) Graphical Representation of Data using Databricks notebook.
5) Hands-on learning
6) Real-time Use Case
7) Publish the Project on Web to Impress your recruiter
About Databricks:
Databricks lets you start writing Spark queries instantly so you can focus on your data problems.
Lets discover more about the Olympic Games using Apache Spark
Data:
Data exploration about the recent history of the Olympic Games
We will explore a dataset on the modern Olympic Games, including all the Games from Athens 1896 to Rio 2016.
Are you ready to dive into the fascinating world of sports analytics and explore the Olympic Games through the lens of big data? This project-based course empowers you to analyze Olympic data, uncover patterns, and extract actionable insights using the power of Apache Spark. From understanding athlete performance to tracking medal trends, this course equips you with the skills to process and visualize massive datasets with ease.
Through hands-on experience, you’ll build an end-to-end analytics project that showcases your ability to handle complex data and deliver meaningful insights. Whether you’re a data enthusiast, sports fan, or aspiring data scientist, this project will set you apart by demonstrating your expertise in big data and sports analytics.
What You’ll Learn:
Data Ingestion & Preprocessing: Load and clean Olympic datasets to prepare them for analysis.
Exploratory Data Analysis (EDA): Discover trends, performance insights, and medal distributions across countries and events.
Scalable Data Processing: Use Apache Spark to efficiently process and analyze large-scale sports datasets.
Visualization & Reporting: Create compelling visualizations and dashboards to present your findings.
Actionable Insights: Answer real-world questions about athlete performance, country rankings, and historical trends.
Real-World Benefits:
Hands-On Experience: Work on a real-world analytics project that applies to sports, media, and data science industries.
Portfolio-Ready Project: Showcase a professional project to highlight your expertise in Apache Spark and analytics.
Career Advancement: Position yourself as a data professional with practical skills in big data and sports analytics.
Data-Driven Decision Making: Learn to derive meaningful insights that can influence strategic decisions in sports and beyond.
Who Should Enroll:
Data Analysts & Scientists eager to gain expertise in big data and sports analytics.
Big Data Enthusiasts looking to apply Apache Spark in a high-impact, real-world project.
Sports Fans & Researchers interested in exploring Olympic Games data to uncover fascinating trends.
Why Take This Course?
The Olympic Games Analytics Project is not just a learning experience; it’s an opportunity to apply your skills to a globally recognized dataset. Whether you aim to enhance your portfolio, land a job in data science, or combine your love for sports with analytics, this course delivers the tools and confidence you need.
Enroll now to master Apache Spark and create insights that bring the Olympic Games to life through data!
Who this course is for:
- Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer
- Data Analysts & Scientists eager to gain expertise in big data and sports analytics.
- Big Data Enthusiasts looking to apply Apache Spark in a high-impact, real-world project.
- Sports Fans & Researchers interested in exploring Olympic Games data to uncover fascinating trends.
Instructor
I am Solution Architect with 12+ year’s of experience in Banking, Telecommunication and Financial Services industry across a diverse range of roles in Credit Card, Payments, Data Warehouse and Data Center programmes
My role as Bigdata and Cloud Architect to work as part of Bigdata team to provide Software Solution.
Responsibilities includes,
- Support all Hadoop related issues
- Benchmark existing systems, Analyse existing system challenges/bottlenecks and Propose right solutions to eliminate them based on various Big Data technologies
- Analyse and Define pros and cons of various technologies and platforms
- Define use cases, solutions and recommendations
- Define Big Data strategy
- Perform detailed analysis of business problems and technical environments
- Define pragmatic Big Data solution based on customer requirements analysis
- Define pragmatic Big Data Cluster recommendations
- Educate customers on various Big Data technologies to help them understand pros and cons of Big Data
- Data Governance
- Build Tools to improve developer productivity and implement standard practices
I am sure the knowledge in these courses can give you extra power to win in life.
All the best!!