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Online IT Course Ratings and Skill Trends
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About
Online IT and data course information is presented, sourced from different online learning platforms. The data includes key performance indicators such as course ratings, measured in stars out of 5, and the quantity of reviews submitted by online course takers. Additionally, the final columns detail the top five skills that users can expect to gain from each corresponding course. This collection offers important insight into recent online students' preferences regarding essential IT and data skills.
Columns
- Course Name: The title given to the specific online educational offering. For instance, 'Python for Data Science, AI & Development' is a common example.
- Ratings (out of 5): The star rating assigned by course participants. The most frequent rating recorded is 4.8.
- reviews: The numeric figure representing the total number of reviews submitted for the course.
- skill 1: The primary skill identified as being acquired in the course, such as 'Data Science'.
- skill 2: The second most prominent skill gained. Examples include 'Python Programming'.
- skill 3: The third most prominent skill gained, such as 'Data Analysis'.
- skill 4: The fourth most prominent skill gained. Examples include 'Pandas'.
- skill 5: The fifth most prominent skill gained. An example is 'Numpy'.
Distribution
The data is contained within a single file named
courses.csv, which is 13.81 kB in size and comprises 8 distinct columns. There are 106 valid records for core fields like Course Name and Ratings. However, the columns detailing acquired skills show varying levels of completeness. For example, skill 2 and skill 3 both have 16% missing records, skill 4 has 25% missing records, and skill 5 has the highest rate of missing data at 41%. The dataset represents a static snapshot and has an expected update frequency of never.Usage
This data is excellent for analysing current trends in online education, specifically within the technology and data fields. It can be used to identify highly rated courses and determine which IT and data skills are currently prioritised by online learners. Furthermore, it is suitable for market researchers aiming to gauge demand for specific educational content based on student feedback and rating performance.
Coverage
The dataset focuses exclusively on online IT and data course information gathered from various online course platforms. It captures the preferences and ratings submitted by online course takers, providing insight into student behaviour within this domain. Specific geographic or temporal boundaries beyond the context of global online platforms are not available.
License
CC0: Public Domain
Who Can Use It
- Educational Content Providers: To benchmark new course offerings against popular and highly rated existing content.
- Data Analysts: For modelling course success predictors or mapping the current educational skill supply chain.
- Students and Job Seekers: To research which specific courses and associated skills yield the highest perceived value based on collective student reviews and feedback.
- Market Researchers: To track investment and current student trends within the IT and Data science training markets.
Dataset Name Suggestions
- Online IT Course Ratings and Skill Trends
- Data & Tech Course Review Snapshot
- Student Preferences in Data/IT Education
- Global Online Course Performance Metrics.
Attributes
Original Data Source:Online IT Course Ratings and Skill Trends
QUALITY