About Dataset
Context
A compilation of all the development related courses ( 13 thousand courses) which are available on Udemy's website. Under the development category, there are courses from Finance, Accounting, Book Keeping, Compliance, Cryptocurrence, Blockchain, Economics, Investing & Trading, Taxes 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 17 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.
numreviews : Gives us an idea related to the number of ratings that a course has received.
num publishedlectures : 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.
publishedtime : Time of publishing the course.
discounted priceamount : The discounted price which a certain course is being offered at.
discounted pricecurrency : The currency corresponding to the discounted price which a certain course is being offered at.
price detailamount : The original price of a particular course.
price detail_currency : The currency corresponding to the price detail amount for a course.
About Dataset Context A compilation of all the development related courses ( 13 thousand courses) which are available on Udemy's website. Under the development category, there are courses from Finance, Accounting, Book Keeping, Compliance, Cryptocurrence, Blockchain, Economics, Investing & Trading, Taxes 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 17 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. numreviews : Gives us an idea related to the number of ratings that a course has received. num publishedlectures : 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. publishedtime : Time of publishing the course. discounted priceamount : The discounted price which a certain course is being offered at. discounted pricecurrency : The currency corresponding to the discounted price which a certain course is being offered at. price detailamount : The original price of a particular course. price detail_currency : The currency corresponding to the price detail amount for a course.