PySpark and AWS: Master Big Data with PySpark and AWS - Project Overview - Spark RDDs

The video tutorial introduces a mini project involving student data analysis using a CSV file. It outlines various analytics tasks such as counting students, calculating total and average marks, and determining pass/fail status. The instructor encourages students to attempt these tasks independently before the next video, where solutions will be provided. Students are advised to compare their approaches with the instructor's and seek help if needed.

What is the primary purpose of the student data CSV file in the project?

• To perform analytics on student data

• To track student extracurricular activities

• To store student attendance records

• To manage student course registrations

Which of the following is NOT a column in the student data CSV file?

• Course

• Email

• Age

• Attendance

What is the minimum mark required for a student to pass the course?

• 50

• 45

• 55

• 40

Which task involves calculating the total marks achieved by students based on gender?

• Calculating total marks by gender

• Determining pass/fail status

• Finding the average age of students

• Counting the number of students

What should students do if they encounter difficulties while solving the tasks?

• Ask a classmate for help

• Wait for the next video

• Contact the instructor through the question-answer section

• Skip the tasks