DecodeLabs Data Analytics Internship

Overview

This repository contains all tasks, projects, and assignments completed during my Data Analytics Internship at DecodeLabs.

The internship focuses on developing practical skills in:

• Data Cleaning
• Data Analysis
• Exploratory Data Analysis (EDA)
• Data Visualization
• Statistical Analysis
• Business Insights Generation

Technologies Used

• Microsoft Excel
• Python
• Pandas
• NumPy
• Matplotlib
• Git & GitHub

Repository Structure

DecodeLabs-Data-Analytics-Internship/ │ ├── Project-1-Student-Performance-Analysis/ │ ├── dataset.csv │ ├── analysis.py │ ├── README.md │ └── screenshots/ │ ├── Project-2-E-Commerce-Sales-Analysis/ │ ├── dataset P2.xlsx │ ├── analysis.xlsx │ ├── README.md │ └── screenshots/ │ ├── statistics.png │ ├── payment-method-analysis.png │ ├── order-status-analysis.png │ ├── referral-source-analysis.png │ └── final-findings.png │ └── README.md

Learning Outcomes

Through this internship, I am gaining hands-on experience in:

• Working with real-world datasets
• Data preprocessing and cleaning
• Performing exploratory data analysis
• Creating meaningful visualizations
• Drawing actionable insights from data

Projects

Project 1: Student Performance Analysis and Visualization

• Python-based analysis of student performance data.
• Grade assignment, ranking, visualization, and correlation analysis.

Project 2: E-Commerce Sales Data Analysis

• Excel-based analysis of e-commerce transaction data.
• Descriptive statistics, Pivot Tables, trend analysis, and visualizations.

Internship Details

Organization: DecodeLabs

Domain: Data Analytics

Duration: 2026

Author

Atul Tyagi

LinkedIn: http://www.linkedin.com/in/imatultyagi

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