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Explore a variety of notebooks covering essential Python libraries and techniques for data analysis.\n\u003ccenter\u003e\n\n![](https://media.geeksforgeeks.org/wp-content/uploads/20230510174745/Data-Analysis-with-Python.webp)\n\n\u003c/center\u003e\n\n### 📈 What's Inside?\nDive into the fascinating world of data analysis with hands-on notebooks on:\n\n- Numpy : Essential for numerical operations and advanced mathematical functions.\n- Pandas : Your go-to library for data manipulation and analysis.\n- Matplotlib \u0026 Seaborn : Master the art of data visualization.\n- BeautifulSoup : Python library for easy web scraping, simplifying HTML and XML data extraction.\n- regex : Python module for powerful and efficient regular expression matching and text manipulation.\n\n## 📚 Topics Covered\n- Python Fundamentals\n- Introduction to Data Analysis with Python\n- Data Cleaning and Preprocessing\n- Exploratory Data Analysis (EDA)\n- Data Visualization with Matplotlib and Seaborn\n- Pandas Library for Data Manipulation\n- Statistical Analysis with NumPy \n- Webscraping using Beautifulsoup\n\n\n### Prerequisites\n\nTo get started, ensure that you have the following installed:\n\n- [Python](https://www.python.org/downloads/)\n- [Jupyter Notebook](https://jupyter.org/install)\n\n\n## 📝 Learning Resources\n- Course - [Data Analysis with Python - Freecodecamp](https://www.freecodecamp.org/learn/data-analysis-with-python/)\n- Youtube Playlist - [Keith Galli](https://www.youtube.com/@KeithGalli) (Highly Recommended)\n\n\n## 🤝Contributing\n\nContributions are welcome! If you have additional notebooks, improvements, or want to cover new topics, feel free to submit a pull request.\n\nFeel 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! 🚀\n\nConnect with me on linkedin: [Raghul M](https://www.linkedin.com/in/m-raghul/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fraghul-m%2Fdata-analysis-with-jupyternotebook-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fraghul-m%2Fdata-analysis-with-jupyternotebook-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fraghul-m%2Fdata-analysis-with-jupyternotebook-python/lists"}