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.