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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.

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Tanay-Dwivedi/Udemy-Courses-Data-Analysis

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Udemy Courses Data Analysis


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.


Identify the Data

Dataset

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.


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.


About

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.

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