https://github.com/tanay-dwivedi/udemy-courses-data-analysis

The project aims to analyze a dataset of Udemy courses to understand course characteristics, explore user engagement metrics, and assess market dynamics within the platform.
https://github.com/tanay-dwivedi/udemy-courses-data-analysis

dataanalysis matplotlib-pyplot plotly python udemydataanalysis visualization

Last synced: 12 days ago
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The project aims to analyze a dataset of Udemy courses to understand course characteristics, explore user engagement metrics, and assess market dynamics within the platform.

• Host: GitHub
• URL: https://github.com/tanay-dwivedi/udemy-courses-data-analysis
• Owner: Tanay-Dwivedi
• Created: 2024-03-09T18:20:22.000Z (10 months ago)
• Default Branch: master
• Last Pushed: 2024-03-14T15:44:37.000Z (10 months ago)
• Last Synced: 2024-11-07T03:31:12.599Z (2 months ago)
• Topics: dataanalysis, matplotlib-pyplot, plotly, python, udemydataanalysis, visualization
• Language: Jupyter Notebook
• Homepage:
• Size: 1.44 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Udemy Courses Data Analysis

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## Problem Statement

The project aims to **analyze** a dataset from Udemy courses, focusing on various **aspects** such as course **subject**, **level**, **pricing**, **subscribers**, **reviews**, **lectures**, and **content duration**. The **goal** is to gain **insights** into the relationship between these **variables** and to understand how they contribute to the **success** and **popularity** of courses on the platform.

The project seeks to provide **interactive** visualizations using **Plotly** to enhance **engagement** and **interactivity** with the data.

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## Identify the Data

[Dataset](https://github.com/Tanay-Dwivedi/Udemy-Courses-Data-Analysis/blob/master/udemy.csv)

The dataset consists of information on Udemy courses, including attributes such as pricing, number of subscribers, reviews, lectures, content duration, subject, and level. Through analysis, patterns and trends within these data points can be identified to understand factors influencing course popularity and success.

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## Aim of the analysis

**1. Understanding Course Characteristics:**

Analyzing attributes like subject, level,pricing, and content duration to comprehend the diverse characteristics of Udemy courses.

   

**2. Exploring User Engagement Metrics:**

Investigating the relationship between the number of subscribers, reviews, and lectures to gauge user engagement and course effectiveness.

   

**3. Assessing Market Dynamics:**

Examining pricing distribution and comparing paid versus free courses to understand market dynamics and consumer preferences within the Udemy platform.

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