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The Data Science internship at InternSavy is designed to provide hands-on experience with key data analysis tools and methodologies. Throughout the internship, you completed four tasks, each focusing on different aspects of data analytics. These tasks likely included data collection, processing, analysis, and visualization.

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GayathriMuralidharan/Internsavy

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Data Science Internship - InternSavy

Project Overview

This project is a culmination of the Data Science internship at InternSavy. The internship provided hands-on experience with essential data analysis tools and methodologies. The focus was on applying theoretical knowledge to real-world data through tasks.

Projects

  1. Customer Segmentation Analysis
  2. Clustering Technique for Customer Dataset
  3. Cricket Player Performance Prediction Using Machine Learning
  4. Prediction of Graduate Admission

Tasks Completed

  1. Data Collection: Gathering data from various sources for analysis.
  2. Data Processing: Cleaning and preparing data for analysis.
  3. Data Analysis: Applying statistical methods to interpret the data.
  4. Data Visualization: Creating visual representations of data for better understanding.

Certificate

Completing these tasks earned an internship completion certificate, validating the skills and experience gained in data analytics.

Tools Used

  • Python
  • Excel
  • SQL
  • Tableau

Purpose

The purpose of this internship was to develop practical data analytics skills that are applicable in professional settings.


This README file summarizes the key aspects of your internship project, providing a clear overview for anyone reviewing your work.

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The Data Science internship at InternSavy is designed to provide hands-on experience with key data analysis tools and methodologies. Throughout the internship, you completed four tasks, each focusing on different aspects of data analytics. These tasks likely included data collection, processing, analysis, and visualization.

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