Course Rating

This dataset comprises a comprehensive collection of educational courses, each characterized by several key attributes: interests, title, description, category, level, past experience, and rating. The courses span a wide range of subjects, including programming (e.g., Python, Java, C++), data science (e.g., Big Data, Data Mining), mathematics (e.g., Calculus, Algebra), physics (e.g., Mechanics, Thermodynamics), chemistry (e.g., Organic Chemistry, Inorganic Chemistry), literature (e.g., World Literature, Drama), history (e.g., Ancient History, World Wars), and machine learning (e.g., Deep Learning, Natural Language Processing).

Each course is tailored to different proficiency levels (beginner, intermediate, advanced) and requires varying levels of past experience (none, basic, intermediate, advanced). The courses are rated on a scale from 1 to 5, with the majority receiving the highest rating of 5. The dataset also includes language specifications (e.g., English, Hindi) for many courses, indicating the medium of instruction.

This dataset is valuable for analyzing trends in educational offerings, identifying gaps in course availability, and understanding the distribution of courses across different fields and difficulty levels. It can also support the development of personalized learning recommendations based on user interests, experience, and preferred language.