Udemy courses data analysis
Udemy is the E-learning platform that provides billions of courses which are useful in learning and understanding different types of domain around every corner of the world. Udemy is a platform that allows instructors to build online courses on their preferred topics. Thus it is essential to understand the importants of it and the data it croses over its field.
In this EDA, I am going to explore the courses offered by udemy and their popularity (rating) through visualizations and graphs using matplotlib and seaborn.
Link to the dataset -> https://www.kaggle.com/jilkothari/finance-accounting-courses-udemy-13k-course/metadata
Downloading the Dataset
For the data analysis of the udemy courses, first I need to download the datasets from the Kaggle site.
Instructions for downloading the dataset (delete this cell)
- Find an interesting dataset on this page: https://www.kaggle.com/datasets?fileType=csv
- The data should be in CSV format, and should contain at least 3 columns and 150 rows
- Download the dataset using the
opendatasets
Python library
!pip install jovian opendatasets --upgrade --quiet
Let's begin by downloading the data, and listing the files within the dataset.