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README.md.txt
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# Udemy Exploratory Data Analysis
In this EDA project I analyse and visualize the business required questions.
- Kaggle: [Udemy Dataset](https://www.kaggle.com/andrewmvd/udemy-courses)
## Run Locally
Clone the project
```bash
git clone https://github.com/deepamkalekar/Udemy-Exploratory-Data-Analysis-Project.git
```
Go to the project directory
```bash
cd Udemy-Exploratory-Data-Analysis-Project
```
Install Libraries
```bash
pip install -r requirements.txt
```
Start the Jupyter Notebook
```bash
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?