Welcome to the Python Data Analytics Projects repository. This collection features 8 meticulously crafted projects solved using Python, designed to equip you with the practical skills and knowledge required to succeed in the field of Data Analytics.
This repository serves as an invaluable resource for individuals aiming to start or transition into a Data Analyst career. The projects offer hands-on experience with real-world datasets, making it an excellent addition to your academic or professional portfolio.
Each project leverages the power of the Python Pandas Library for data manipulation and analysis. Accompanied by clear and concise explanations, these projects are accessible to learners at all levels, from novices to seasoned professionals.
- Weather Data Analysis
- Cars Data Analysis
- Police Data Analysis
- Covid Data Analysis
- London Housing Data Analysis
- Census Data Analysis
- Udemy Data Analysis
- Netflix Data Analysis
Each project folder contains the following:
- A Jupyter Notebook (
.ipynb) with the complete solution. - The dataset used in the project.
- A
README.mdfile with project-specific details and instructions.
You can explore each project by navigating to its respective directory. To gain a deeper understanding, we recommend running the code yourself and experimenting with the data.
To run these projects locally, ensure you have the following installed:
- Python (3.x)
- Jupyter Notebook
- Pandas Library