Project: Factors that Fuel Student Performance

In today's fast-paced and competitive educational environment, understanding the factors that influence student success is more important than ever. Just like the transport system in a bustling city like London must adapt to serve its residents, schools and educators must adapt to meet the needs of students. In this project, we will take a deep dive into a dataset containing rich details about various aspects of student life, such as hours studied, sleep patterns, attendance, and more, to uncover what truly impacts exam performance.

The dataset we'll be working with includes a wide range of factors influencing student performance. By analyzing this data, we'll be able to identify key drivers of success and provide insights that could help students, teachers, and policymakers make informed decisions. The table we'll use for this project is called student_performance and includes the following data:

Column	Definition	Data type
`attendance`	Percentage of classes attended	`float`
`extracurricular_activities`	Participation in extracurricular activities	`varchar` (Yes, No)
`sleep_hours`	Average number of hours of sleep per night	`float`
`tutoring_sessions`	Number of tutoring sessions attended per month	`integer`
`teacher_quality`	Quality of the teachers	`varchar` (Low, Medium, High)
`exam_score`	Final exam score	`float`

You will execute SQL queries to answer three questions, as listed in the instructions.

DataFrameas

avg_exam_score_by_study_and_extracurricular

variable

-- avg_exam_score_by_study_and_extracurricular
SELECT public.student_performance.hours_studied, 
       AVG(public.student_performance.exam_score) AS avg_exam_score
FROM public.student_performance
WHERE public.student_performance.hours_studied > 10 AND public.student_performance.extracurricular_activities = 'Yes'
GROUP BY public.student_performance.hours_studied
ORDER BY public.student_performance.hours_studied DESC;

DataFrameas

avg_exam_score_by_hours_studied_range

variable

-- avg_exam_score_by_hours_studied_range
SELECT 
    CASE 
        WHEN public.student_performance.hours_studied BETWEEN 1 AND 5 THEN '1-5 hours'
        WHEN public.student_performance.hours_studied BETWEEN 6 AND 10 THEN '6-10 hours'
        WHEN public.student_performance.hours_studied BETWEEN 11 AND 15 THEN '11-15 hours'
        WHEN public.student_performance.hours_studied >= 16 THEN '16+ hours'
    END AS hours_studied_range,
    AVG(public.student_performance.exam_score) AS avg_exam_score
FROM public.student_performance
WHERE public.student_performance.hours_studied IS NOT NULL
GROUP BY hours_studied_range
ORDER BY avg_exam_score DESC;

DataFrameas

student_exam_ranking

variable

-- student_exam_ranking
SELECT public.student_performance.attendance,
       public.student_performance.hours_studied,
	   public.student_performance.sleep_hours,
	   public.student_performance.tutoring_sessions,
	   DENSE_RANK() OVER (ORDER BY public.student_performance.exam_score DESC) AS exam_rank
FROM public.student_performance
LIMIT 30;