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Udemy Professional Education Statistics
Education & Learning Analytics
Tags and Keywords
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Free
About
Providing a detailed snapshot of the online education sector, this collection aggregates metadata for courses listed under the Data Science category on Udemy. As a massive open online course provider aimed at professional adults and students, Udemy hosts a wide array of technical content. This resource captures critical metrics including course popularity, instructional levels, duration, and user feedback, enabling in-depth analysis of e-learning trends and content demand.
Columns
- course title: The specific name assigned to the educational module (e.g., Machine Learning with Python).
- course url: The direct web link to the course page on the platform.
- course description: A textual summary outlining the curriculum and topics covered.
- Ratings: The aggregate score given by users (e.g., 4.6 out of 5).
- reviews: The count of written feedback entries provided by students.
- duration: The total length of the course content (e.g., 2 total hours).
- Lectures: The number of individual video segments or lessons within the course.
- course level: The intended difficulty tier for the learner (e.g., Beginner, All Levels).
- instructors: The name of the teacher or publishing entity (e.g., Packt Publishing).
Distribution
The data is presented in a CSV format (
udemy.csv) with a file size of approximately 881.79 kB. It contains 2,790 valid records representing unique courses, covering 9 specific features per record.Usage
- Market Analysis: Assessing the demand for specific data science skills and tools.
- Competitor Benchmarking: Helping educators understand successful course structures and pricing models.
- Exploratory Data Analysis (EDA): Serving as a practice resource for data cleaning, visualisation, and statistical analysis.
- Content Strategy: Identifying gaps in current educational offerings based on user ratings and reviews.
Coverage
The data encompasses the global catalogue of Udemy courses specifically categorised under Data Science. It spans a full range of proficiency levels, from beginner to expert, and includes courses updated up to the point of data extraction. The dataset update frequency is expected to be annual.
License
CC0: Public Domain
Who Can Use It
- Data Analysts: For visualising trends in the ed-tech industry.
- Course Creators: For researching high-performing topics and formats.
- Educational Researchers: For studying the evolution of online technical training.
- Students: For practising pandas and data manipulation techniques.
Dataset Name Suggestions
- Udemy Data Science Course Catalogue
- Global E-Learning Metrics for Data Science
- Udemy Professional Education Statistics
- Online Data Science Course Metadata
Attributes
Original Data Source:Udemy Professional Education Statistics
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