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The 3 Must-Read Data Science Books for Absolute Beginners
“I’m overwhelmed with all the resources available; what should I do?”
“There are plenty of resources, and I’m confused if I’m on the right path. Could you please help me out?” She worriedly informed.
Things took a sharp turn when I heard these lines from one of my mentees, who has been doing so well thus far. I couldn’t believe even she doubted herself.
To give you context, I’m a senior data scientist, and in my free time, I mentor data enthusiasts to break into the field of data science. I look forward to these interactions as they give me a sense of what problems are faced by beginners and how I can help better.
I have been writing about learnings for you to copy, mistakes for you to avoid, and extensive guides for you to follow— but I’ve missed focusing on the simplest elements to get started in data science.
It’s time educators, and mentors like me own up to it — it’s our job to make it simple and easy for you. It’s our duty to reduce information overload and help you take action.
What good can 52-week roadmaps, 25 resource sheets, 7 cheat sheets, 101 page PDFs do if you’re overwhelmed, end up overthinking, and take no action at all?
