Name: Olympic Games Analytics Project in Apache Spark for beginner
Availability: InStock

What You'll Learn

Set up a free Databricks account and launch a Spark cluster for analytics projects.
Navigate and use Apache Spark notebooks effectively for data analysis.
Load, structure, and explore datasets using Spark DataFrames.
Perform real-world analytics on Olympic Games data, including:
Age, height, and weight distribution of medal-winning athletes.
Women’s medal trends over the years.
Top medal-winning countries and sports.
Gold, Silver, and Bronze medal distribution analysis.
Athlete demographics and performance patterns over time.
Create data visualizations to present insights from Spark outputs.
Publish Spark notebooks to the web to share project results.
Build a portfolio-ready Spark project demonstrating end-to-end data analytics skills.

Requirements

A computer with internet access.
Basic familiarity with Microsoft Excel or CSV files is helpful but not required.
No prior experience in Apache Spark is necessary — this course is beginner-friendly.
Curiosity and willingness to learn data analytics with real-world datasets.

Beginners looking to learn Apache Spark through a practical project.
Students or professionals interested in data analytics and data science.
Aspiring Data Engineers or Data Analysts who want to build portfolio-ready projects.
Anyone interested in sports analytics or analyzing Olympic Games data.
Learners who prefer hands-on, project-based learning over theory-only courses.

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22 Courses

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