Analysis of Udemy Courses Test phase, srs, design phase and source code final deliverable

Analysis of Udemy Courses Test phase, srs, design phase and source code final deliverable

Project Domain / Category

Information Retrieval

Abstract/Introduction

Udemy, Inc. is a global destination for teaching and learning online. It was founded in May 2010 by Eren Bali, Gagan Biyani, and Oktay Caglar. As of July 2022, the platform has more than 54 million students, 204,000 courses, and 71,000 instructors teaching courses in over 75 languages. There have been over 741 million course enrollments. The project aims to develop methods or tools to determine the course popularity based on the historical data. The project is related to the information mining and retrieval. You have to implement the latest AI algorithms for achieving the highest accuracy and precision for the below mentioned problems.

About Dataset:

This dataset contains information about ‘Udemy’ courses in the category of Web Development. The parameters are course title, URL, price, number of subscribers, number of reviews, number of lectures, course level, rating, content duration, published timestamp, and subject. With this dataset, researchers can track the performance of courses and uncover opportunities to generate revenue. This data set is perfect for those who want to learn more about web development or improve their skills in the field. The link for dataset is given in the tools section.

Functional Requirements:

The students have to submit the python scripts as well as the graphical/tabular results to fulfill the following requirements.

1. Analyze which Udemy courses in the Web Development category are the most popular, and which factors contribute to its popularity.
2. Determine on basis of published timestamp and content duration that how course quality affects students’ willingness to pay.
3. Predicting the price of a Udemy course based on its number of subscribers, reviews, lectures, level, rating, and content duration.
4. You have to provide the model based on the above requirements.

Tools:

The following tools can be used for developing the above project:

• Anaconda
• Jupiter Lab.
• Python
• Any other tool required
• Dataset :           https://www.kaggle.com/datasets/thedevastator/udemy-courses-revenuegeneration-and-course-anal

Supervisor:

Name: Zaid Ismail