I’m doing online courses to train myself to become a data scientist.
In this post I want to keep a rough record of inspiring, useful sources and webpages from other coders around the world. I’m happy to hear suggestions for new sources of information, please get in touch.
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I signed up for Codewars. This is really useful and fun. You get coding challenges and you can see how other people solved them, so it’s a nice way to learn better coding practices.
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I started reading Python for Data Analysis by William McKinney, which is recommended in the pandas section in StakOverflow. McKinney is one of the creators of pandas.
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This r/datascience post has really cool, useful tricks for using Jupyter more efficiently.
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Dataquest: I’m doing the Data Scientist In Python Path at Dataquest. I found dataquest from The 9 Best Free Online Big Data And Data Science Courses article at Forbes.
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I created this website using GitHub’s minimal mistakes repo.
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Fede Barabas has a really useful website.
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Leticia Portella has a really useful website.
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I learned a cool Matplotlib trick from Randy Olson’s blog.
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I learned to make a nice pie chart from Kevin Amipara’s post.
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I’m listening to OCD Machine Learning Guide podcast.
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I’m doing Andrew NG’s machine learning Coursera’s course.