You don’t need to spend $𝟭𝟬𝟬𝟬𝘀 to learn Data Science.

[Shekinah Brama]

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Stanford University, Harvard University & Massachusetts Institute of Technology is providing free courses.💥

Here are 8 free Courses that’ll teach you better than the paid ones. 

5. Machine Learning (MIT)

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6. Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (MIT)

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Matrix Methods in Data Analysis, Signal Processing, and Machine Learning | Mathematics | MIT OpenCourseWareLinear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks. This course reviews linear algebra with applicat…https://lnkd.in/dkpyt6qr

Machine Learning | Electrical Engineering and Computer Science | MIT OpenCourseWare6.867 is an introductory course on machine learning which gives an overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as classification and linear re…https://lnkd.in/dJEjStCw

1. CS50’s Introduction to Artificial Intelligence with Python (Harvard)

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2. Data Science: Machine Learning (Harvard)

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Data Science: Machine LearningBuild a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.https://lnkd.in/dQ7zkCv9

CS50’s Introduction to Artificial Intelligence with PythonLearn to use machine learning in Python in this introductory course on artificial intelligence.https://lnkd.in/d9CkkfGK

3. Artificial Intelligence (MIT)

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4. Introduction to Computational Thinking and Data Science (MIT)

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Introduction to Computational Thinking and Data Science | Electrical Engineering and Computer Science | MIT OpenCourseWare6.0002 is the continuation of _[6.0001 Introduction to Computer Science and Programming in Python](/courses/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/)_ and is intend…https://lnkd.in/ddm5Ckk9

Artificial Intelligence | Electrical Engineering and Computer Science | MIT OpenCourseWareThis course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop in…https://lnkd.in/dG5BCPen

7. Statistical Learning (Stanford)

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8. Mining Massive Data Sets (Stanford)

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