Dark Mode
Multi-Platform Online Course Data
Education & Learning Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset is a collection of online courses gathered from various leading platforms. It provides detailed information on a wide array of courses across different subject areas, including course titles, descriptions, instructors, user ratings, review counts, course duration, and required skill levels. This resource is invaluable for individuals interested in exploring and analysing online educational opportunities. It enables researchers, educators, and learners to identify trends, gauge popularity, and understand the characteristics of online courses across the diverse landscape of digital education. The dataset offers insights into the variety of skills and topics covered within online learning environments.
Columns
- partner: Identifies the organisation that provides the course. For example, Google accounts for 9% of partners, IBM for 8%, with various other organisations making up the remaining 84%.
- course: The title of the online course. There are 1106 unique course titles represented in the dataset.
- skills: A list of the specific skills taught or covered within the course. This column contains 978 unique skill entries.
- rating: The average rating assigned to the course by users. Common ratings include 4.7 and 4.8.
- reviewcount: The total number of reviews that the course has received from users.
- level: Indicates the difficulty level of the course. 'Beginner' is the most frequent level at 59%, followed by 'Intermediate' at 18%.
- certificatetype: Specifies the type of certificate awarded upon successful completion of the course. 'Course' certificates are the most common at 44%, with 'Specialisation' certificates at 34%.
- duration: The estimated time required to complete the course. '3 - 6 Months' is the most common duration at 40%, followed by '1 - 3 Months' at 29%.
- crediteligibility: Boolean information indicating whether the course is eligible for academic credit. Approximately 12% (139 courses) are credit-eligible, while 88% (1000 courses) are not.
Distribution
The dataset is typically structured as a data file, often in CSV format. A sample file,
Coursera.csv, is 422.43 kB in size and contains 9 columns. Most columns within the dataset feature 1139 valid records. Specific numbers for total rows or records beyond what's indicated for column validity are not available, but the dataset is designed to be flexible for expansion with additional learning platforms.Usage
This dataset is ideal for:
- Educational research and analysis: Investigate patterns and insights within online learning.
- Trend identification in online learning: Discover emerging popular courses, skills, and platforms.
- Comparative studies between courses: Analyse differences and similarities across various online educational offerings.
- Insights for learners: Assist individuals in identifying courses for specific skills or domains of interest.
- Understanding the online learning landscape: Gain a broad overview of digital education's characteristics and evolution.
Coverage
The dataset focuses on a broad array of multi-platform online courses, representing a wide range of domains and subjects within the online learning environment. It offers insights into the diversity of skills and topics present in digital education. Specific geographic regions, precise time ranges, or detailed demographic scopes are not explicitly provided within the current information.
License
CC0: Public Domain
Who Can Use It
- Researchers: To conduct studies on online education, course effectiveness, and learning trends.
- Educators: For understanding pedagogical approaches in online settings and course development.
- Learners: To evaluate and select suitable online courses for skill development or academic pursuits.
- Data Analysts: For exploring educational data, identifying market gaps, and performing comparative studies.
- Developers: To build applications that recommend courses or track learning paths.
Dataset Name Suggestions
- Multi-Platform Online Course Data
- Online Learning Landscape Overview
- Global Digital Education Insights
- E-Learning Course Metrics
- Online Course Catalogue
Attributes
Original Data Source: Multi-Platform Online Course Data
QUALITY