https://github.com/harrystaley/datacamp
A collection of Jupyter notebooks showcasing my progress and completion of data science coursework on DataCamp, featuring exploratory data analysis and Python-based projects. Note: These materials are intended for personal demonstration and not for academic dishonesty.
https://github.com/harrystaley/datacamp
datacamp py python python3
Last synced: about 1 year ago
JSON representation
A collection of Jupyter notebooks showcasing my progress and completion of data science coursework on DataCamp, featuring exploratory data analysis and Python-based projects. Note: These materials are intended for personal demonstration and not for academic dishonesty.
- Host: GitHub
- URL: https://github.com/harrystaley/datacamp
- Owner: harrystaley
- Created: 2022-01-30T22:10:09.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2025-04-12T08:52:40.000Z (about 1 year ago)
- Last Synced: 2025-04-13T09:19:02.553Z (about 1 year ago)
- Topics: datacamp, py, python, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 28.3 MB
- Stars: 6
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# DataCamp
This repository contains a collection of Jupyter notebooks that I have used to document my progress through various data science coursework on DataCamp. Each notebook is a testament to the skills and knowledge I've acquired, showcasing my ability to perform exploratory data analysis and complete Python-based projects. Please note that these materials are intended for personal use and demonstration only. Any misuse for academic dishonesty is strictly prohibited.
## Topics
- Python
- DataCamp
- Python3
## Setup and Installation
To run these notebooks, you will need to have Python installed, preferably Python 3.6 or later. You can download Python from [here](https://www.python.org/downloads/).
You will also need to install Jupyter Notebook. The easiest way to do this is by installing the Anaconda distribution which includes Python, Jupyter Notebook, and other commonly used packages for scientific computing and data science. You can download Anaconda from [here](https://www.anaconda.com/products/distribution).
Once you have Python and Jupyter Notebook installed, navigate to the directory containing the notebooks and run the command `jupyter notebook` to start the Jupyter Notebook App. The app will open in your default web browser.
## Usage Examples
The Jupyter notebooks in this repository are fully executable and can be run to reproduce the results that I have obtained. To do this, open the notebook you wish to run in the Jupyter Notebook App, select the cell you wish to run, and then click the 'run' button. Alternatively, you can run a cell by pressing `Shift + Enter`.
## Contribution Guidelines
If you'd like to contribute to this repository, please feel free to fork the repository, make your changes, and then submit a pull request. I am always open to improvements and would love to see what you come up with!
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE.md) file for details.