This project analyses Coursera's course data. It examines the relationship between course ratings and the number of students enrolled. The study uses graphs to show how course ratings and student numbers differ across various course types and levels. It also looks at the average number of students in each course, depending on its difficulty level.
Install the required packages:
pip install pandas matplotlib seaborn numpyDownload the dataset file and place it in the project directory. You can download it from kaggle here: https://www.kaggle.com/datasets/siddharthm1698/coursera-course-dataset
MIT. See the LICENSE file for more details.