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# # B is for Books
# > A brief list of books I've found useful over the years.
#
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# While this is not an exhaustive list of the books I've read on my journey to become a data scientist, it is comprised of the books I consider my essential reading. 
#
# # Statistics
# ### [The Cartoon Guide to Statistics](http://www.larrygonick.com/titles/science/the-cartoon-guide-to-statistics/)
# ![](../images/books/resized006.png)  
# An engaging reference book which explains key concepts like descriptives statistics, distributions, probability, hypothesis testing.
#
# ### [The Manga Guide to Statistics](https://nostarch.com/sites/default/files/styles/uc_product_full/public/mg_statistics_big.png?itok=A7DJQynq)
# ![](../images/books/resized003.png)  
# Similar to the title above, but this book has a plot that runs through it. Consequently, if you find analogies easier to remember than formulas, this is a great book for you.
#
#
# # Data Science 
#
# ## R
#
# ### [R for Data Science](https://r4ds.had.co.nz/)  
# ![](../images/books/resized005.png)  
# After completing several [DataCamp](https://www.datacamp.com/profile/pevansimpson) courses, I started using R to analyze [test-taker data](https://educators-r-learners.netlify.app/post/coloring-under-the-lines-in-ggplot/) and this book was my go to reference for the [tidyverse](https://www.tidyverse.org/).
#
# ### [Geocomputation in R](https://geocompr.robinlovelace.net/)
# ![](../images/books/resized001.png)  
# My last position required my team and I to travel throughout East Asia to deliver workshops, presentations, and provide client support. This book taught me how to make maps to visualize our reach and impact. 
#
# ### [Blogdown: Creating Websites with R Markdown](https://bookdown.org/yihui/blogdown/)  
# ![](../images/books/resized000.png)  
# I would not have been able to create my previous blog without this book. Simply indispensable if you want to create a blog with RStudio. 
#
# ## Python
#
# ### [A Whirlwind Tour of Python](https://jakevdp.github.io/WhirlwindTourOfPython/)
# ![](../images/books/resized009.png)  
# Need to get the gist of Python in a hurry? This is your book. 
#
# ### [Hands-On Machine Learning with Scikit-Learn and TensorFlow](https://www.oreilly.com/library/view/hands-on-machine-learning/9781491962282/) 
# ![](../images/books/resized002.png)  
# "Chapter 2 End-to-End Machine Learning Project" along with "Appendix B: Machine Learning Project Checklist" are worth the price of the book alone. 
#
# ### [Python for Data Analysis](http://shop.oreilly.com/product/0636920023784.do)
# ![](../images/books/resized004.png)  
# The real name of this book should be *Pandas from A-Z*. Seriously, work through the examples in Chapter 14 and you will feel infinitely more confident to use ```pandas``` in the future.  
#
# # Concepts
#
# ### [Storytelling with Data](http://www.storytellingwithdata.com/books)
# ![](../images/books/resized007.png)  
# If "a picture is worth a thousand words," make sure it's conveying the intended message. Use this book to learn the principals of conveying precise meaning instead of serving as a distraction or being redundant. 
#
# ### [Weapons of Math Destruction](https://bookshop.org/books/weapons-of-math-destruction-how-big-data-increases-inequality-and-threatens-democracy/9780553418835)
# ![](../images/books/resized008.png)  
# It's good to be told/reminded that models are never neutral. 
#
# ### [An Illustrated Book of Bad Arguments](https://bookshop.org/books/an-illustrated-book-of-bad-arguments-9781615192250/9781615192250)
# ![](../images/books/resized010.png)  
# Step one of avoiding cognitive biases is to know they exist meaning read this book! 
#
# # Conclusion
#
# Like I said, the number is small but the impact they've had on me has been massive. Please comment below and tell me which books have impacted you the most during your journey. 



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