data scientist certification

Best Books for People Pursuing Data Scientist Certifications

It’s always a great choice to have certifications in the industry you want to enter. No matter which certification you choose, the credentialing body offers you some books to refer to. But it’s always a good choice to refer to other books to increase your chances of completing the certification easily, to stay ahead of the competition, and also to be confident during interviews.

If you are thinking of doing big data certifications or data science certifications, then, first of all, congratulations, because you have chosen a course which will bring you a great confidence to take your career forward.

Here are the books you can refer to for an advanced knowledge, in addition to, the big data certifications:

  • Machine Learning Yearning: Technical Strategy for AI Engineers, In the Era of Deep Learning by Andrew NG- If you have efficiently learned machine learning and have a grip on artificial intelligence but want to solidify the knowledge in your brain, you can pursue the study of this book. Based on data acquisition and complex information processing, machine learning has moved on in leaps and bounds. 20% executives around the world are jumping on the bandwagon to put the knowledge of machine learning into their portfolio. And there’s no reason why it shouldn’t be in yours.         
  • Python for Data Analysis: Data Wrangling with Pandas, NumPy and IPython, by Wes McKinney- For somebody who has a great working knowledge regarding Python. This is not something new that Python is a global programming language. The books delves deep into the enormity of potential that python offers for manipulation, processing, cleaning, and data crunching in Python. Python is a huge component of major data science certifications. Some advanced data science certifications even require you to have the previous knowledge of Python.      
  • The Signal and the Noise: Why so many Predictions Fail- but Some Don’t by Nate Silver- The brainchild of Nate Silver, an American statistician who successfully predicted the US presidential election results in 2012, this book takes you through case studies from the real world, data prediction examples, and the citations of how data-based failures have sometimes gone kaput. This book will teach you how to look for data that really matters and to filter it out from the noise and to build substantiality for success. It’s one of the best books you will discover for predictive analytics.     

Storytelling with Data: A Data Visualization Guide for Business Professionals, by Cole Nussbaumer Knaflic- Published by Wiley, it’s another must-have before delving deep into big data certifications. The author has been highly successful in bringing out data science insights through an effective storytelling method. The book is quite entertaining if you look at the fact that it revolves around data science which is thought to be a boring subject. It can be referred to by anyone from the Chief Digital Officer to Chief Executive Officer or for that matter, any student looking for some extra knowledge to pursue data science certifications.

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