1 . Coursera - Data Science and Machine Learning Specialization by Andrew Ng:

• • Data Science and Machine Learning Specialization by Andrew Ng is a great starting point. It covers key topics in data science and machine learning.

1. edX - Introduction to Data Science by Microsoft:

   • Introduction to Data Science is a professional certificate program by Microsoft on edX, providing a comprehensive introduction to data science.

2. Kaggle:

   • Kaggle is a platform that offers datasets, competitions, and kernels (code notebooks) for data science. It's an excellent resource for hands-on learning.

3. GitHub - Awesome Data Science:

   • The Awesome Data Science GitHub repository is a curated list of various data science resources, including courses, books, and tools.

4. UCI Machine Learning Repository:

   • The UCI Machine Learning Repository provides various datasets for machine learning projects, allowing you to apply what you've learned in real-world scenarios.

5. DataCamp:

   • DataCamp offers interactive courses on data science, covering topics like Python, R, machine learning, and more. Some of their courses are free.

6. Google's Machine Learning Crash Course:

   • Machine Learning Crash Course by Google is a free course that covers the fundamentals of machine learning using TensorFlow.

7. YouTube - StatQuest with Josh Starmer:

   • StatQuest is a YouTube channel that explains statistical concepts and machine learning algorithms in a clear and concise manner.