https://github.com/raghul-m/data-analysis-with-jupyternotebook-python

This repository consists of notebooks where I learned the basics of getting started with data analysis using Python libraries
https://github.com/raghul-m/data-analysis-with-jupyternotebook-python

beautifulsoup4 data-analysis-python eda jupyter-notebook matplotlib-python numpy pandas-python regular-expression seaborn-python webscraping

Last synced: about 2 hours ago
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This repository consists of notebooks where I learned the basics of getting started with data analysis using Python libraries

• Host: GitHub
• URL: https://github.com/raghul-m/data-analysis-with-jupyternotebook-python
• Owner: Raghul-M
• Created: 2023-12-16T14:28:09.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2023-12-16T15:15:35.000Z (11 months ago)
• Last Synced: 2024-01-29T10:49:26.085Z (10 months ago)
• Topics: beautifulsoup4, data-analysis-python, eda, jupyter-notebook, matplotlib-python, numpy, pandas-python, regular-expression, seaborn-python, webscraping
• Language: Jupyter Notebook
• Homepage:
• Size: 2.15 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

# Python Data Analysis Learning Repository

Welcome to the Python Data Analysis Starter Pack repository! 🚀 This collection is designed to help you kickstart your journey into data analysis using Python. Explore a variety of notebooks covering essential Python libraries and techniques for data analysis.

![](https://media.geeksforgeeks.org/wp-content/uploads/20230510174745/Data-Analysis-with-Python.webp)

### 📈 What's Inside?

Dive into the fascinating world of data analysis with hands-on notebooks on:

- Numpy : Essential for numerical operations and advanced mathematical functions.

- Pandas : Your go-to library for data manipulation and analysis.

- Matplotlib & Seaborn : Master the art of data visualization.

- BeautifulSoup : Python library for easy web scraping, simplifying HTML and XML data extraction.

- regex : Python module for powerful and efficient regular expression matching and text manipulation.

## 📚 Topics Covered

- Python Fundamentals

- Introduction to Data Analysis with Python

- Data Cleaning and Preprocessing

- Exploratory Data Analysis (EDA)

- Data Visualization with Matplotlib and Seaborn

- Pandas Library for Data Manipulation

- Statistical Analysis with NumPy 

- Webscraping using Beautifulsoup

### Prerequisites

To get started, ensure that you have the following installed:

- [Python](https://www.python.org/downloads/)

- [Jupyter Notebook](https://jupyter.org/install)

## 📝 Learning Resources

- Course - [Data Analysis with Python - Freecodecamp](https://www.freecodecamp.org/learn/data-analysis-with-python/)

- Youtube Playlist - [Keith Galli](https://www.youtube.com/@KeithGalli) (Highly Recommended)

## 🤝Contributing

Contributions are welcome! If you have additional notebooks, improvements, or want to cover new topics, feel free to submit a pull request.

Feel free to explore, contribute, and adapt this project to suit your needs. If you encounter any issues or have suggestions for improvement, please raise them in the GitHub repository's issues section. Happy coding! 🚀

Connect with me on linkedin: [Raghul M](https://www.linkedin.com/in/m-raghul/)