About this Dataset

Udemy Online Education Courses Dataset

Description:

The dataset comprises anonymized data on online education courses offered on Udemy, one of the leading online learning platforms.
This dataset can be utilized for analyzing trends in online courses, including aspects like pricing, popularity, and course length, across different subjects and levels.
It can aid in understanding the demand for certain subjects, the pricing structure of paid courses, and the general profile of courses in terms of lectures and duration.
This dataset can be utilized for analyzing trends in online education, including course popularity, pricing, and content structure.
It can help in understanding the demand for specific subjects, assessing the relationship between course price and subscribers, and gaining insights into the characteristics of popular online courses.

Features:

Column Name	Description
course_id	A unique identifier for each course.
course_title	The title of the course as listed on Udemy.
url	The URL link to the course page on Udemy.
is_paid	Indicates whether the course is paid (True) or free (False).
price	The price of the course in USD (applicable only for paid courses).
num_subscribers	The number of subscribers enrolled in the course.
num_reviews	The total number of reviews left by subscribers.
num_lectures	The number of lectures included in the course content.
level	The difficulty level of the course (e.g., All Levels, Intermediate Level).
content_duration	The total duration of the course content in hours.
published_timestamp	The date and time when the course was published on Udemy.
subject	The primary subject category of the course (e.g., Business Finance, Web Development).

Tables

Udemy Online Education Courses Dataset

@kaggle.yusufdelikkaya_udemy_online_education_courses.udemy_online_education_courses_dataset

291.49 KB
3678 rows
12 columns


CREATE TABLE udemy_online_education_courses_dataset (
  "course_id" BIGINT,
  "course_title" VARCHAR,
  "url" VARCHAR,
  "is_paid" BOOLEAN,
  "price" BIGINT,
  "num_subscribers" BIGINT,
  "num_reviews" BIGINT,
  "num_lectures" BIGINT,
  "level" VARCHAR,
  "content_duration" DOUBLE,
  "published_timestamp" VARCHAR,
  "subject" VARCHAR
);