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Student Exam Performance Analysis

For the course project I have collected dataset from kaggle which has information on the exam scores of students in 3 subjects maths,reading and writing.The tools I will use for data analysis include :
numpy for computation
pandas for storing data in objects called data frames
seaborn and matplotlib for data visualization
The motive is to get valuable insights from the dataset.
for eg :
which sex (male/female) is performing better in which subject ?
relation between the test scores and ethnicity.
impact of test preparation course on students test scores.

Downloading the Dataset

I have downloaded the dataset from kaggle.The dataset consists information on scores of students in maths,reading and writing

!pip install jovian opendatasets --upgrade --quiet

Let's begin by downloading the data, and listing the files within the dataset.

# Change this
dataset_url = 'https://www.kaggle.com/spscientist/students-performance-in-exams'