📊 Curso Data Analysis - IEEE

Welcome to the CursoDA_IEEE repository! This project contains Google Colab notebooks with exercises from a data analysis course conducted by IEEE. The notebooks primarily utilize Pandas for data manipulation and Matplotlib for data visualization.

📜 Table of Contents

• Notebooks
• Installation
• Usage
• Technologies
• License
• About This Project

📚 Notebooks

This repository contains the following notebooks:

1. ejercicios_clase_1.ipynb - Exercises from the first class, covering:

   • Introduction to libraries.
   • Reading and writing Excel and CSV files.
   • Data manipulation with Pandas.

2. ejercicios_clase_2.ipynb - Exercises from the second class, covering:

   • Introduction to Matplotlib.
   • Data visualization.
   • Customization of graphs.

🚀 Installation

To run the notebooks, you can open them directly in Google Colab. Simply click the links above or follow these steps:

1. Open Google Colab: Google Colab
2. In the top menu, click on File > Open notebook.
3. Choose the GitHub tab and enter the URL of your repository.

⚙️ Usage

Once the notebooks are open in Google Colab, you can run the code cells by clicking the "Play" button or pressing Shift + Enter. Each notebook includes detailed explanations and code examples for performing various data analysis tasks.

🛠️ Technologies

This project utilizes:

• Python
• Google Colab
• Pandas
• Matplotlib

📄 License

Distributed under the MIT License. See LICENSE for more information.

📚 About This Project

This repository contains exercises from a data analysis course by IEEE, aimed at enhancing practical skills in data manipulation and visualization using Python libraries.