Skip to content

Data Analytics Capstone Project on User Behavior in the Telecom Industry. Final project for the Certificate in Data Science Foundation at the International School of Artificial Intelligence and Data Science

Notifications You must be signed in to change notification settings

Parth-Kacheria/Data-Analytics-Capstone-Project-on-User-Behavior-in-the-Telecom-Industry

Repository files navigation

Data Analytics Capstone Project on User Behavior in the Telecom Industry

enter image description here This project was created for an INSAID (International School of AI and Data Science) Capstone Project on Data Analytics for user behavior in the Telecom industry.

Data Description

In this assignment, the goal is to study the demographics of a user (gender and age) based on their app download and usage behaviors.

The data schema can be represented as:

1. gender_age_train - Devices and their respective user gender, age and age_group

2. phone_brand_device_model - device ids, brand, and models phone_brand: note that few brands are in Chinese

3. events_data - when a user uses mobile on the Telecom network, the event gets logged in this data.

  • Each event has an event id, location (lat/long), and the event corresponds to frequency of mobile usage.
  • timestamp: when the user is using the mobile.

Find the events dataset here

The other datasets can be found here.

A brief overview of the project:

  1. Understanding the Problem Statement.
  2. Merging Datasets
  3. Exploratory Data Analysis
  4. Presentation of Data and Insights

To check out my notebook and presentation, please click here.

To find me on Github, please click here.

enter image description here

About

Data Analytics Capstone Project on User Behavior in the Telecom Industry. Final project for the Certificate in Data Science Foundation at the International School of Artificial Intelligence and Data Science

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published