Welcome to our curated list of resources for those interested in learning about data science. Whether you're just starting out or looking to expand your knowledge, these resources will help you on your journey.
Books
- "Data Science from Scratch" by Joel Grus - A great book for beginners that covers the basics of data science through practical examples and exercises.
- "Python Data Science Handbook" by Jake VanderPlas - A comprehensive guide to Python for data science, covering libraries like NumPy, Pandas, and Matplotlib.
Online Courses
- Coursera: Offers a variety of data science courses from universities and companies around the world.
- edX: Provides courses from top universities and institutions on a wide range of data science topics.
Tutorials
- DataCamp: Interactive tutorials that teach you data science and analytics skills through real-world projects.
- Kaggle: A platform for data scientists to compete in machine learning competitions and participate in discussions.
Blogs
- Towards Data Science: A Medium publication where expert writers publish articles on data science and machine learning.
- Data School: A blog that provides tutorials and guides on data analysis and visualization.
Tools
- Jupyter Notebook: An open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text.
- TensorFlow: An open-source machine learning framework developed by Google Brain.
Communities
- Reddit Data Science: A community for data scientists and enthusiasts to discuss and share ideas.
- Stack Overflow Data Science: A Q&A site for programmers to learn, share their knowledge, and build their careers.
Data Science Visualization
By exploring these resources, you'll be well on your way to becoming a skilled data scientist. Happy learning!