This project consists of four (4) data sets (Data Sheet Udemy Courses - Business Courses, Data Sheet Udemy Courses - Design Courses, Data Sheet Udemy Courses - Music Courses and Data Sheet Udemy Courses - Web Development) which are made up of 3676 rows and 12 columns (Course ID, Course Title, Url, Price, Num of Subscribers, Num of Reviews, Num of Lectures, Level, Rating, Content Duration, Published Timestamp and Subject). I performed data extraction, cleaning,transformation and loading in order to prepare the data for analysis. I analyzed and visualized the data using Excel.
The Data used is from Github. Here are the links below:
https://github.com/Fabulousnani/Data-Developer-Bootcamp/blob/main/Data_Sheet_Udemy_Courses_-_Business_Courses.xlsx https://github.com/Fabulousnani/Data-Developer-Bootcamp/blob/main/Data_Sheet_Udemy_Courses_-_Design_Courses.csv https://github.com/Fabulousnani/Data-Developer-Bootcamp/blob/main/Data_Sheet_Udemy_Courses_-_Music_Courses.csv https://github.com/Fabulousnani/Data-Developer-Bootcamp/blob/main/Data_Sheet_Udemy_Courses_-_Web_Development.csv
Having lots of courses in Udemy, we need to acertain the courses that will cause an increase in revenue for the company.
Web development being the course subject with the most subscribers, i recommend that courses in this subject category should have an increase in price therefore causing and increase in revenue.
I also recommend that graphics design subject category which has the highest rating should be reviewed for an increase in price as it shows students are satisfied with the course contents and delivery.