Machine Learning with Python

How was the first course in the certificate, the one with machine learning in python? I saw a bunch of negative reviews about problems with the logistics of the course like grading

check out :

https://www.coursera.org/learn/machine-learning-with-python/home/week/5

It shows real-world applications and you can go straight to practice, you only have to watch a few videos. Very useful

The actual data related jobs are most likely not very theoretical unless you directly strive for those positions. To add more practical approach to your university gained experience I would do a few web courses like:

https://www.coursera.org/learn/machine-learning-with-python (free)

or

https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t (500 usd)

or something similar. There are so many courses from Google, Microsoft, IBM and many respected universities that have very practical approach and teach you a lot fast. There is huge difference between academic Statistics approach and practical machine learning approach and I would suggest that you broaden your horizons a bit.

Many of those short courses take 10-20 hours or work. It should be possible to do one every 1-3 weeks (depending on its size). Doing that during this study year until summer will teach you a LOT and you will actually become bored of the easy stuff and mostly look into new projects.

You can try both of them, but I suggest you learn via online courses on python for machine learning. Here are some links that might help you out:

https://www.coursera.org/learn/machine-learning-with-python

https://www.springboard.com/resources/learning-paths/machine-learning-python

https://www.python-course.eu/machine_learning.php

Do an introductory Math and Stat for Data Science. I am stressing the "for Data Science" and "Introductory" parts. You are doing CS so programming might be already your forte, get familiar with Python and DS Python libraries.

Then, Data preprocessing is a big part to cover.

Some of the frequently used models are well described and implemented in many MOOCs like - https://www.edx.org/course/machine-learning , https://www.coursera.org/learn/machine-learning-with-python

These will get you started and you can advise other new learners from there on!

To sort MOOCs by DS topics check this - data-scientist-explore-free

Am still learning Python so I can't give you an exact or experienced answer to that question.

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However, I recall that one of the Youtubers whose videos I've been watching (to pick up the language) mentioned he got into Python for those exact reasons (though I think he started with some previous programming experience in other langages). Aside from his basics and intermediate python tutorials he also has tutorials on the subject of Machine Learning in Python and a series on a Python AI for StarCraft II.

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Haven't watched those series so no idea how good they are. But I've found his basics and intermediate have been useful for some insight and to clarify some things for me. So hopefully that holds up in the others.

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Channel can be found here:

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https://www.youtube.com/user/sentdex/videos

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If you already know some Python Coursera has a couple of courses on machine learning with Python that might be worth checking out. Can always audit the courses to view materials and see if fit for purpose.

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https://www.coursera.org/learn/python-machine-learning

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https://www.coursera.org/learn/machine-learning-with-python

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