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Coursera Course Feedback 7K
Reviews & Ratings
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset contains over 7,000 rows of data, offering detailed reviews for Coursera courses across 8 distinct domains. It provides valuable insights into course popularity, quality, and learner satisfaction. The data was meticulously collected using web scraping techniques with Selenium Chrome Driver, ensuring the information is accurate and up-to-date. This file is ideal for detailed data analysis, identifying trends, and supporting educational research.
Columns
- Domain: The category or field of the course, such as Business, Technology, or Health. This column helps classify courses into broader subject areas.
- Course Title: The specific name of the Coursera course, which identifies the subject being reviewed.
- Rating: The average rating given to the course, typically on a scale of 1 to 5. This metric reflects the overall satisfaction of learners.
- Number Enrolled: The total count of learners who have signed up for the course, serving as an indicator of its popularity.
- Like Ratio: The percentage of learners who expressed a positive sentiment towards the course, offering insight into its reception among participants.
- Number of Modules: The total number of modules or sections within the course. This gives an indication of the course's structure and depth.
- Review 1, Review 2, Review 3: Three distinct sample reviews submitted by learners. These provide qualitative feedback on the course, covering aspects like strengths, weaknesses, and individual learning experiences.
- URL: The direct web link to the course on the Coursera platform, enabling direct access to the course page for further details.
Distribution
The dataset is provided in a CSV file format and includes more than 7,000 individual entries or rows. It covers various course types and feedback metrics from the Coursera platform.
Usage
This dataset is well-suited for:
- Performing data analysis to uncover insights into online learning.
- Identifying trends in course performance and learner engagement.
- Conducting educational research into online course effectiveness.
- Developing sentiment analysis models based on learner reviews.
- Creating recommendation systems for online courses.
- Analysing course performance and quality metrics.
- Understanding learner preferences across different subject areas.
Coverage
The data originates from Coursera courses, spanning 8 distinct domains. The dataset pertains to a global region of learners. No specific time range or detailed demographic scope is provided beyond general learner feedback.
License
CC BY-SA
Who Can Use It
- Data scientists seeking to analyse large datasets of educational feedback.
- Researchers in the field of online education and e-learning.
- Developers looking to build recommendation engines or sentiment analysis tools.
- Organisations interested in understanding learner behaviour and course appeal.
- Anyone requiring insights into online course popularity and learner satisfaction on platforms like Coursera.
Dataset Name Suggestions
- Coursera Course Feedback 7K
- Coursera Learner Review Data
- Multi-Domain Coursera Course Metrics
- Online Learning Course Insights
- Coursera Course Ratings and Enrolment
Attributes
Original Data Source: Coursera_Learning_Feedback_Multiple_Domain_7K
QUALITY