Context
A compilation of all the BUSINESS related courses ( 10 thousand courses) which are available on Udemy's website. Under the Business category, there are courses from Finance, Entrepreneurship, Communication, Management, Sales, Strategy, Operations, Project Management, Business Law, Data Analytics, Home Business, Human Resources and Industry each having multiple courses under it's domain.
All the details can be found on Udemy's website as well!
Content
Here, I have extracted data related to 10k courses which come under the development category on Udemy's website.
The 20 columns in the dataset can be used to gain insights related to:
id : The course ID of that particular course.
title : Shows the unique names of the courses available under the development category on Udemy.
url: Gives the URL of the course.
is_paid : Returns a boolean value displaying true if the course is paid and false if otherwise.
num_subscribers : Shows the number of people who have subscribed that course.
avg_rating : Shows the average rating of the course.
avg rating recent : Reflects the recent changes in the average rating.
num_reviews : Gives us an idea related to the number of ratings that a course has received.
num_ published_lectures : Shows the number of lectures the course offers.
num_ published_ practice_tests : Gives an idea of the number of practice tests that a course offers.
created : The time of creation of the course.
published_time : Time of publishing the course.
discounted_ price_amount : The discounted price which a certain course is being offered at.
discounted_ price_currency : The currency corresponding to the discounted price which a certain course is being offered at.
price_ detail_amount : The original price of a particular course.
price_ detail_currency : The currency corresponding to the price detail amount for a course.