PySpark Project: Analyze Student Data Using RDD

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In this video, we dive into a practical PySpark project where we analyze student data using RDD (Resilient Distributed Dataset).
0:00 – Project Overview
2:23 – Total Students
5:58 – Total Marks by Male and Female Student
12:46 – Total Passed and Failed Students
17:32 – Total Enrollments per Course
22:35 – Total Marks per Course
In this video, we dive into a practical PySpark project where we analyze student data using RDD (Resilient Distributed Dataset). This tutorial walks you through the step-by-step process of working with a StudentData.csv file, including reading the file into an RDD and performing various data analytics tasks. You'll learn how to calculate the total number of students, analyze marks by gender, determine the number of students who passed or failed (with passing marks set at 50+), count students enrolled in each course, and compute the total marks achieved per course. Whether you're a beginner or looking to enhance your PySpark skills, this hands-on example will provide valuable insights into big data processing and analysis.



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