Welcome to our curated list of data science learning resources! Whether you're just starting out or looking to deepen your knowledge, these resources will help you on your journey.
Online Courses
- Coursera offers a variety of data science courses taught by experts from top universities and companies.
- edX provides free and low-cost courses from universities around the world, including data science and machine learning.
Books
- "Data Science from Scratch" by Joel Grus is a great book for beginners, covering the basics of data science with Python.
- "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron is a comprehensive guide to machine learning with practical examples.
Tutorials
- DataCamp offers interactive tutorials on data science and machine learning topics.
- Kaggle is a platform for data science competitions and tutorials.
Communities
- Reddit is a great place to ask questions and share insights with other data scientists.
- Stack Overflow is a popular question-and-answer site for programmers, including those working in data science.
Tools
- Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text.
- TensorFlow is an open-source machine learning framework developed by Google.
Data Science Workflow
Additional Resources
For more information and resources, check out our Data Science Learning Path.