As someone who considers myself both a data enthusiast and bibliophile, I’m often asked to share my reading recommendations for those looking to get more from their data. The range of options can be incredibly overwhelming and wrought with a contentious debate over which books are essential. Unfortunately, no particular text is the end-all, be-all when it comes to learning the way of the data-driven world and I certainly wouldn’t want to live in a world where one book encompassed all the necessary details for such a complex and nuanced subject. So how could I possibly narrow it down to just a few books?
Well, it turns out, I couldn’t.
Instead, I’ve opted to share a short list that I’ve personally found informative, provoking, and imaginative including a few classic entry-level basics, a mix of context-specific titles and the additional list of advanced, data science specific texts.
For the Eager Enthusiast
The world of data analytics can be quite intimidating. But, as always, the best things in life don’t come easy. If you’re early in your data-driven journey, I think it’s good to start with a few books to wet your appetitive desire to learn more and ease safely into the wild river of the data analysis.
For the Data Manager
If you’re already knee-deep in data and analytics, then it’s time to move on to the next level. The following texts, specifically “Algorithms to Live By,” offer incredible insight into the nuance of data and its impact on decision-making processes.
For the Data Scientist or Analyst
Alright, now the big stuff. For those of you who are well-versed in statistical analysis and have a solid understanding of programming, here are a few books that we think are worth adding to your list (assuming you haven’t already).
While this list is far from exhaustive, I hope you find one book that inspires and expands your world. If you’d like to add to this list, please feel free to share your thoughts/recommendation in the comments section below!