Case_Study_Data_Analytics

Data analysis case study of business performance using a Python programming approach.

Business Data Analytics Project

Overview

This project focuses on analyzing business data to gain insights and make informed decisions. We use Python and its powerful data analysis libraries to clean, visualize, and interpret the data.

Key Features

• Data Cleaning: Handle missing values, remove duplicates, and standardize formats.
• Data Visualization: Create charts and graphs to display trends and patterns.
• Statistical Analysis: Perform basic statistical calculations to understand data behavior.

Tools & Libraries

• Python 3.x
• Pandas: For data manipulation and analysis.
• NumPy: For numerical computations.
• Matplotlib For data visualization.
• Scikit-learn: For machine learning and predictive analytics.

Example Use Cases

• Sales Data Analysis:
• Customer Segmentation:
• Revenue Prediction:

Contributing

Feel free to use this repository!