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If you are part of the KDnuggets community, it means that you are already a part of data science, machine learning and artificial intelligence, or are doing research on it. This community and sector is growing rapidly, and if you are someone looking to get into this world, I will tell you to do it, do it, and do it again!
However, like you, when I started I didn't know where to start. I was watching pretty much every YouTube video I could that gave good advice, reading blog after blog, and checking out course reviews like nobody's business.
Since I know what it feels like to be in this situation, I have dedicated most of my blogs to helping those who need career guidance, from free courses, paid courses, interview preparation, etc.
In this particular edition, I will provide you with a roadmap that will give you the foundation and allow you to move towards expert fields with a roadmap of Harvard courses.
And the surprising thing is that they are free!
Introductory courses
Small steps are what will make you run like an athlete. When it comes to your career, especially when you're transitioning, you'll want to start with all the introductory courses the world has to offer.
Here is a list of free introductory courses from Harvard:
Specialized technological courses
Soft skills courses
Concluding
Building your foundation to the point that it is hard and solid is the best thing you can do for your career. I'm not saying you have to take every one of these courses, but on the path of learning there are never limitations.
Soak up as much knowledge as you can and then decide where you would like to hone your career further with specialized courses.
nisha arya is a data scientist, freelance technical writer, and KDnuggets editor and community manager. She is particularly interested in providing professional data science advice or tutorials and theory-based insights into data science. Nisha covers a wide range of topics and wants to explore the different ways in which artificial intelligence can benefit the longevity of human life. A keen student, Nisha seeks to expand her technological knowledge and writing skills, while helping to mentor others.
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