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Global Finance & Accounting Courses

Education & Learning Analytics

Tags and Keywords

Udemy

Courses

Finance

Education

Analytics

Trusted By
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Global Finance & Accounting Courses Dataset on Opendatabay data marketplace

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Free

About

This dataset compiles over 13,000 educational courses from the Finance & Accounting category on Udemy's website. It provides a detailed overview of various development-related courses, including topics such as Book Keeping, Compliance, Cryptocurrency, Blockchain, Economics, Investing & Trading, and Taxes. The dataset's purpose is to offer insights into online learning trends, course characteristics, and pricing strategies within the financial education domain.

Columns

  • id: The unique course identifier.
  • title: The distinct name of each course available on Udemy.
  • url: The direct URL link to the course on Udemy.
  • is_paid: A boolean value indicating whether the course is paid (true) or free (false).
  • num_subscribers: The total number of individuals who have subscribed to the course.
  • avg_rating: The overall average rating received by the course.
  • avg_rating_recent: Reflects the latest changes in the course's average rating.
  • rating: Displays the course's rating.
  • num_reviews: The total count of reviews a course has received.
  • is_wishlisted: Indicates if a course has been added to a user's wishlist (false for all records in this dataset).
  • num_published_lectures: The number of lectures offered within the course.
  • num_published_practice_tests: The number of practice tests included in the course.
  • created: The date and time when the course was initially created.
  • published_time: The date and time when the course was officially published.
  • discount_price__amount: The monetary value of the course after any applied discounts.
  • discount_price__currency: The currency type corresponding to the discounted price.
  • discount_price__price_string: A string representation of the discounted course price, including currency symbol.
  • price_detail__amount: The original monetary value of the course before any discounts.
  • price_detail__currency: The currency type corresponding to the original price, for uniformity.
  • price_detail__price_string: A string representation of the original course price, including currency symbol.

Distribution

The dataset is provided as a CSV file, named 'udemy_output_All_Finance__Accounting_p1_p626.csv', with a file size of 3.09 MB. It contains approximately 13,600 records, each with 20 distinct columns detailing various aspects of Udemy courses. The expected update frequency for this dataset is quarterly.

Usage

This dataset is ideal for:
  • Market Analysis: Understanding trends and pricing strategies in the online education sector, particularly within Finance & Accounting.
  • Content Development: Identifying popular course topics, successful content structures, and engaging elements based on subscriber numbers and ratings.
  • Predictive Modelling: Developing models to forecast course success, subscriber growth, or rating changes.
  • Competitive Intelligence: Analysing competitor offerings and market positioning on the Udemy platform.
  • Academic Research: Studying e-learning dynamics, user engagement, and the economics of online courses.

Coverage

The dataset primarily covers courses under the Development category on Udemy, specifically focusing on Finance & Accounting. The time range for course creation and publishing spans from April 2010 to September 2020. While the geographic scope is not explicitly detailed, the primary currency observed in the pricing columns is Indian Rupees (INR), suggesting a significant representation or focus on this market. The dataset includes information on over 13,000 courses, providing a substantial overview of Udemy's offerings in this domain.

License

CC0: Public Domain

Who Can Use It

  • Data Analysts and Scientists: To extract insights, perform statistical analysis, and build machine learning models related to online course performance.
  • EdTech Companies: For market research, competitor benchmarking, and product strategy development.
  • Course Creators and Instructors: To inform their course development, pricing, and marketing efforts on platforms like Udemy.
  • Researchers: To study the dynamics of the online learning industry and consumer behaviour in e-learning.
  • Students and Learners: To identify highly-rated, popular, or relevant courses based on various metrics.

Dataset Name Suggestions

  • Udemy Finance Course Analytics
  • Online Accounting Education Trends
  • Udemy Financial Learning Dataset
  • E-learning Course Performance Data
  • Global Finance & Accounting Courses

Attributes

Listing Stats

VIEWS

0

DOWNLOADS

1

LISTED

14/07/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format