Welcome to the Data Science Adventures repository! This is where I document my journey of learning and exploring the exciting world of data science using the Python programming language. This repository serves as a collection of projects, code examples, and resources that I've gathered along the way.
If you're new to the field of data science or looking to enhance your Python skills for data analysis, consider checking out these resources:
- Official Python Documentation: The definitive guide to the Python programming language.
- Python.org: The official Python website for updates, documentation, and more.
- Python for Data Science Tutorials: Python tutorials that provide a solid foundation for data science tasks.
- Learn Python: An interactive platform for learning Python through hands-on exercises.
- Data Science Courses on Coursera: Explore various data science courses, including offerings from top universities.
This repository is organized into the following sections (The progress bar is kept up to date as I progress through the courses.):
- Data Scientist: Machine Learning Career Path (Codecademy)
: Includes resources from the "Data Scientist Career Path" on Codecademy.
- Python for Data Science (Coursera - IBM)
: Contains materials from the "Python for Data Science" course by IBM on Coursera.
- Computer Programming II
If you'd like to contribute to this journey and collaborate, follow these steps:
- Fork this repository to create your copy.
- Clone the forked repository to your local machine:
git clone https://github.com/eftekin/Data-Science-Adventures.git. - Make your changes and commit them locally.
- Open a "Pull Request" to submit your changes for review and potential inclusion.
I'm open to any contributions, suggestions, or insights that can help enrich my data science learning experience!