Context
A compilation of all the development related courses ( 39 thousand courses) which are available on Udemy's website. Under the LifeStyle category, there are courses from Arts and Craft, Beauty & Makeup, Esoteric Practices, Food and Beverages, Gaming, Home Improvement, Pet Care & Training, Travel, Other Life Style courses and much more 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.