Udemy Exploratory Data Analysis

In this EDA project I analyse and visualize the business required questions.

• Kaggle: Udemy Dataset

Run Locally

Clone the project

  git clone https://github.com/deepamkalekar/Udemy-Exploratory-Data-Analysis-Project.git

Go to the project directory

  cd Udemy-Exploratory-Data-Analysis-Project

Install Libraries

  pip install -r requirements.txt

Start the Jupyter Notebook

  jupyter notebook

Questions

- Which is the most profitable course?

- How many courses on udemy are free and paid?

- What is the distribution of subjects?

- How many courses per subject?

- Does price depend on the number of subscribers?

- Number of subscribers per subject?

- Total number of subscriber?

- Average number of subscribers?

- Which course has the heighest number of subscribers?

- How many Level udemy have?

- What is the distribution of courses per level?

- How many subscribers per level?

- How many course per level?

- How many levels per subject category?

- What is the average price of course?

- Which is the highest price course?

- How many paid or free courses in each subject catogory?

- Does price depend on the number of reviews?

- Number of subscribers per year?