Primary Students Performance Analysis:

This project is like a graduation project of the course Zero to Pandas.

It will be done on a dataset called primary students performance report. It includes the grades of primary students in three subjects (Math, reading, and writing). Moreover, the students are sorted into male and female. It is also sorted into different race/ethnicity groups. One other sorting aspect is the parental level of education, having lunch, andif the students have taken a test preparation course or not.
The dataset is downloaded from the Kaggle website.

The aim in this notebook is to show how to import the dataset and then clean it from missing data or inconvinient ones. After that, the data will be analyzed regarding different aspects.

The techniques being used are from the numpy, pandas, matplotlib, and seaborn. Further describtion will be presented at place.

This course were very helpful for me to start not only understanding how to work with datasets, but also to know how to analyze it and visulize variaty of interesting results.

As a first step, let's upload our Jupyter notebook to Jovian.ml.