/Data-Analytics-Assignment

Complete PW Skills Data Analytics Assignments: This repository contains all PW Skills Data Analytics assignments, covering topics like Python, SQL, Statistics, Data Visualization, and more. It includes well-structured solutions with notebooks and queries, ideal for learners seeking clarity and hands-on practice.

Primary LanguageJupyter NotebookMIT LicenseMIT

PW Skills Data Analytics Assignment Repository

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Welcome to the PW Skills Data Analytics Assignment repository!

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Star this repository to keep it handy and show your support — new assignments and projects will be added regularly.

This repository contains all practical and theoretical assignments from the PW Skills Data Analytics course, including work on Python, SQL, Statistics, Machine Learning, Data Visualization, KNN, PCA, and more.

Whether you're a data analytics student, job-seeker, or someone preparing for interviews, this collection will help you revise key topics and gain hands-on experience.

Feel free to explore, learn, and contribute to the growth of this repository.

🔑 Keywords (SEO)

  • Data Analytics Assignment PW Skills
  • PW Skills Python SQL Statistics Assignment
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📊 Tools & Technologies Used

  • Python (NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn)
  • SQL (MySQL)
  • Excel
  • Power BI
  • Jupyter Notebook
  • Git & GitHub

✅ How to Use

Note

You’ll need Python, Jupyter Notebook, or VS Code installed to run the notebooks locally.

  1. Clone the repository using Git or download the ZIP file from GitHub.
git clone https://github.com/avinesh-masih/Data-Analytics-Assignment.git
  1. Open the folder and launch .ipynb notebooks using Jupyter Notebook, JupyterLab, or VS Code.
  2. Explore the assignments, review solutions, and experiment with the code to strengthen your understanding.
  3. Use this repository as a reference for learning, practice, or interview preparation in data analytics.

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If you find this useful, consider giving it a ⭐ star or forking the repo to support and stay updated.

License

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Unauthorized use or distribution of any part of this repository is strictly prohibited.

This repository is protected under a custom license. Unauthorized use, modification, distribution, or reproduction of the code and any associated materials is strictly prohibited without explicit written permission from the author.

By accessing this repository, you agree to adhere to the following conditions:

  • You may view, study, and contribute only with prior approval from the repository owner.
  • You may not copy, redistribute, or use any part of this repository for personal, academic, or commercial purposes without authorization.

Disclaimer

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Use this content responsibly. The creator is not liable for any misuse, errors, or consequences resulting from its application.

This code is provided as is, without warranty of any kind, express or implied, including but not limited to the warranties of merchantability or fitness for a particular purpose. The author shall not be held liable for any damages or consequences resulting from the use or misuse of this repository.

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