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5 Online Courses I Took as a Self-Taught Data Scientist
After taking over 36 courses, here are my five recommendations
Let me just get this out of the way: I’m in no way an actual prodigy. I’m not creating AI that will change the world or creating equations that will solve the mysteries of the universe like our old pal Einstein.
But I’m in no way a beginner either. I’ve been learning and studying data science for over two years now and have gotten quite far. This is all while being totally self-taught as well.
My journey didn’t start by going to school for data science. No, my journey started when I stumbled upon a course in this crazy thing called machine learning.
Needless to say, I loved the course and I’ve taken around 36 data science courses since then.
Let my experience be your knowledge as I tell you my top five courses in data science to go from beginner to “prodigy.”
1. Machine Learning A-Z: Hands-On Python & R In Data Science
I can’t stress this enough: If you haven’t already taken a machine learning course, take this one.
This is the first online course I ever took, and it’s the reason that 746,000 other students and I are in data science today.
The course was created by data scientist Kirill Eremenko. What’s better than his soothing voice is the actual material.
Kirill teaches you all the knowledge you need to have a basic understanding of some of the most powerful and useful machine learning models. This includes models in regression, classification, clustering, reinforcement learning, natural language processing, and deep learning.
The mathematical background behind these models is taught with simple PowerPoint slides and put into action with line-by-line coding tutorials.
Trust me, take a course where they show you how to create models line by line. It is way less overwhelming and much easier to understand what’s actually going on.
Why I love this course
What makes this course stand out from the others I’ve taken is the amount of material. There is…
