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Michigan University Introduction to Data Science in Python
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Overall the good introductory course of python for data science but i feel it should have covered the basics in more details especially for the ones who do not have any prior programming background. I recommend this course to anyone interested in Data Science and who already has a basic knowledge of Python.
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Stanford Machine Learning
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Machine Learning course by Andrew NG on Coursera is one of the best course to start learning Machine Learning. It covers enough theory to clear your basic concepts. 10 weeks long basic course on Machine Learning, good for beginners. People who  know linear algebra and probability might find this one a bit slower paced, as it goes through several details of calculations.
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Deeplearning.ai Deep Learning Specialization
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Doing this specialisation is probably more than the first step into Deep learning. It builds a fundamental understanding of the field. But going further, you have to practice a lot. A person who has some basic understanding of maths, matrices and programming can benefit from this specialization and can have a good starting point to apply deep learning. On the other hand, the course can be a bit too basic for people who already have some experience in machine learning and deep learning.
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Michigan University Applied Data Science with Python Specialization
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This is an intermediate-level specialization, and it is assumed you already know how to write programs in Python. It also assumes some elementary knowledge of statistics and discrete mathematics, but nothing too advanced. As hinted at by the word "Applied" in the specialization and course titles, there is not much theory presented in this course. There is just enough theory to understand the exercises. Suggestion: Take the specialization concurrently with Andrew Ng's deeplearning.ai specialization, so you will get a nice dose of neural-network theory mixed in with data science, but people who want to understand the algorithms in detail will need further study.
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Johns Hopkins Data Science Specialization
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This course gives you a very good idea about:

  1. The different parts of the whole data science pipeline.
  2. And how to work through the whole data science pipeline using R.
If you had no programming experience, this course will be really hard! If you are new to the field of data science or analytics, this may not be the first resource you should go for. A decent understanding of statistics, ML techniques would be helpful in deriving the most out of this courses.
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IBM Data Science Professional Certificate
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This course is useful for following:
  • anyone looking to get started in data science field.
  • anyone who wants to learn very basic of data science.
  • anyone with very little or no knowledge of the data science or python.
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