Top 8 Data Science Books To Read in 2024

Jeremy Kallowitz
|
March 21, 2024

Top 8 Data Science Books To Read in 2024

In LinkedIn's 2020 Emerging Careers Report, Artificial Intelligence Specialists and Data Scientists are ranked among the top 1st and 3rd rising jobs in the United States, respectively.

We may hope to see more Data Science and AI job posts and wages in 2021 as corporations realize the utility of data further than the hype. The average compensation for a data scientist is $100,560 annually, as per the Bureau of Labor Statistics. That compensation will rise in tandem with the demand.

Data science experts and hobbyists alike, irrespective of their experience or skill level, must constantly hone the saw. This article will aim to compile a list of some of the most useful books for improving your data science skills.


       

Top 8 Data Science Books

The following books give a high-level overview of the Data Science methodology as well as some of the numerous commercial applications.

1. Predictive Analytics 

By Eric Siegel

This book is a thorough yet approachable resource for anybody interested in learning how data analysis functions, delving into a variety of real-world applications such as loan risk, terrorist acts, crime forecasting, and politics, to mention a few.

                                                                               

2. Data Smart 

By John Foreman

The way this book teaches data science ideas using none other than Microsoft Excel is fascinating. Overall, the book serves as an excellent example of how data science is fundamentally tool agnostic.

The concepts and arithmetic underlying the algorithms are the same regardless of what language, platform, or program you choose to accomplish your data science.

                                                                                     

3. The Art of Data Science

By Roger D. Peng and Elizabeth Matsui

This book gives a thorough explanation of the data analysis process. Furthermore, in spite of the availability of several technologies, data analysis is basically an art, along with an iterative procedure in which knowledge is learned at each stage.

                                                                                       

4. Naked Statistics 

By Charles Wheelan

Statistics may be a difficult subject to grasp at times. Furthermore, concentrating on the specifics might obfuscate the meaning of the measures we use at the job. Author Charles Wheelan explains fundamental topics like inference, association, and regression analysis in an entertaining and less intimidating approach in this book.

                                                                                       

5. The Art of Statistics 

By David Spiegelhalter

The Art of Statistics, written by famous statistician David Spiegelhalter, demonstrates how we may gain knowledge from existing data and use statistics to solve a range of issues.

3. Fundamentals of Data Visualization 

By Claus O. Wilke

This book explains the fundamentals of data visualization while contrasting excellent and terrible examples. It is just a book that may educate you on how to comprehend the logic behind good visualizations and how to create more effective plots that convey the proper information.

                                                                                 

7. Storytelling with Data 

By Cole Nussbaumer Knaflic

Anyone who wishes to improve their ability to communicate data in a clear, succinct, and pictorial manner should read this book. With several concrete examples, this book tells you the principles of data visualization and how to successfully communicate with data.

8. MakeoverMonday

By Andy Kriebel

This book is a follow-up to the #MakeOverMonday initiative, in which individuals of the data visualization community discuss how they enhanced current charts and data. It underlines that, while there is a lot of variation in how visualizations are designed, there are several fundamental approaches you can use to make sure your chart stands out.

Conclusion

The aforementioned is a list of books that we believe you must read this year. So, whether you're searching for the greatest all-around book, the best for newcomers, or the best value, we believe there's a book out there for every budding data scientist. Just as data science is an evolving science, the internet too is changing at a massive rate which includes the latest iteration of the internet known as web 3.0. To learn more about what web 3.0 is, click here.

 

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Jeremy Kallowitz

I have a passion for online education, I've managed to build a successful career without even finishing high school by learning using a wide variety of online resources. I love to share information and learn from others!
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