My Honest Advice for Someone Who Wants to Become a Data Scientist
So, I have received many messages asking for advice and tips on breaking into Data Science. Even though I have written several articles detailing the roadmaps and processes I would follow, I think sometimes it's good to hear the brutal truth. That's why, in this article, I want to give you my complete, honest advice for those of you wanting to become a data scientist.
Note: You can also watch the video version of this blog post.
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I often get asked if I should use platform A or platform B. Which course, out of course X and course Y, is better?
I have said it many times before and will say it again, IT DOESN'T MATTER.
Any large course provider or highly rated course will teach you the same things, particularly at the beginner and entry levels. The time you spend deciding what course to choose is much better spent actually doing the work, as that will get you ahead and push you towards your goal.
Similarly, people often ask me what project they should do. My response is always the same: Choose anything you like the look of and go for it. Again, wasting time choosing the "right" project is futile because such a thing doesn't exist. You are much better off just picking something and working on it, and you can always change or choose another one you prefer later on.
As the famous quote goes
You can't steer a stationary ship
Or as the successful entrepreneur Noah Kagan puts it:
Now, not how
If you are interested, I have written a complete list of my favourite data science and Machine Learning resources.
