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Data Analysis Projects

This repository contains a collection of R-based data analysis projects designed to enhance analytical and visualization skills. Each project has been crafted with specific tools and learning outcomes in mind, catering to different levels of expertise.

Project List

1. Analyzing Customer Churn

  • Difficulty level: Beginner
  • Tools used: R, ggplot2, dplyr
  • Expected learning outcome: Understand customer churn and provide actionable insights.

2. Analyzing Job Market Data

  • Difficulty level: Beginner
  • Tools used: R, tidyr, dplyr
  • Expected learning outcome: Explore job market data and identify in-demand skills.

3. HR Analytics

  • Difficulty level: Beginner
  • Tools used: R, ggplot2, data.table
  • Expected learning outcome: Analyze HR data to understand employee performance and attrition.

4. Inventory Analysis

  • Difficulty level: Intermediate
  • Tools used: R, dplyr, lubridate
  • Expected learning outcome: Improve inventory management and purchasing strategies.

5. Supply Chain Analytics

  • Difficulty level: Intermediate
  • Tools used: R, ggplot2, reshape2
  • Expected learning outcome: Develop make vs. buy analysis and cost scenario analysis.

6. Analyzing Healthcare Data

  • Difficulty level: Intermediate
  • Tools used: R, shiny, ggplot2
  • Expected learning outcome: Uncover insights in hospital efficiency and make recommendations.

7. Competitor Sales Analysis

  • Difficulty level: Intermediate
  • Tools used: R, ggplot2, randomForest
  • Expected learning outcome: Assess company product performance against competitors.

8. Mortgage Trading Analysis

  • Difficulty level: Intermediate
  • Tools used: R, caret, data.table
  • Expected learning outcome: Analyze mortgage data and execute trade decisions.

9. E-commerce Analysis

  • Difficulty level: Intermediate
  • Tools used: R, ggplot2, dplyr
  • Expected learning outcome: Explore sales and customer data to provide insightful visualizations.

Purpose

The purpose of this repository is to provide structured learning opportunities for aspiring and experienced data analysts. Each project focuses on a specific domain, allowing for targeted skill enhancement.