5 Books Every Data Scientist Should Read

book, data science, technology

According to the Economist, data has replaced oil as the “world’s most valuable resource.” And like oil, to unlock the true value of data, it has to be mined. This is where data science comes in.

What Is a Data Scientist?

A data scientist interprets and analyzes complex digital data to uncover insights that are vital in business decision-making and driving organizational growth. 

A website’s traffic data, for example, can help website administrators determine where traffic comes from, which types of content their readers consume, how long they stay on site, and so on. Ultimately, data scientists use the information to analyze website performance and make recommendations on how to improve it.

The Bureau of Labor Statistics pegs the 2017 median pay for data scientists (along with other computer and information research scientists) at $114,520 per year, with a projected average growth rate of 19% from 2016 to 2026, much faster than the 7% average for all occupations.

Related Article: What Can You Do With a Master of Science in Information Technology?

5 Best Data Science Books for Data Science Students

An estimated 2.7 million data and analytics positions will be open in the U.S. by 2020. Because the industry practically changes in real time and continually introduces new methods and tools, colleges and universities are working double time to meet the growing need for highly qualified data scientists.

While educational institutions will certainly do the best they can, supplemental reading on the part of students is necessary. 

To help with that, we’ve compiled a list of the best books for both budding and experienced data scientists.

1. The Data Science Handbook

The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists by authors Henry Wang, William Chen, Carl Shan, and Max Song is a compilation of interviews with 25 famous data scientists who have each made their mark in the field. 

The book doesn’t offer technical data science guides. Instead, it focuses on data science insights and perspectives, personal stories, answers to common career questions, and life advice from the best in the industry. 

Official Website | Amazon

2. Doing Data Science

Doing Data Science: Straight Talk from the Frontline by Cathy O’Neil and Rachel Schutt talks about what’s needed to get started working in a field that covers a wide range of disciplines. Based on a Columbia University class, Introduction to Data Science, the book covers introductory data science topics such as algorithms, exploratory data analysis, financial modeling, logistic regression, statistical inference, data visualization, and data engineering. 

O’Reilly Media | Amazon

3. Python Data Science Handbook

Python Data Science Handbook: Essential Tools for Working with Data by Jake VanderPlas offers practical knowledge suitable for both beginner and experienced Python users. The author is aware that the handbook lacks depth in some areas and points readers to other data science resources for further reading.

GitHub | O’Reilly Media | Amazon

4. Storytelling with Data

Storytelling with Data: A Data Visualization Guide for Business Professionals by Cole Nussbaumer Knaflic teaches the basics of visualization and how to effectively tell a story using data. It shows how to go beyond tools to identify and eliminate clutter, get to the root of your data, and leverage the power of storytelling to engage your audience.

Official Website | Amazon

5. Inflection Point

Inflection Point: How the Convergence of Cloud, Mobility, App, and Data Will Shape the Future of Business by Scott Stawski is for every data scientist trying to make sense of dynamic, modern-age information. It focuses on the effect of swift technological changes in mobile devices, the cloud, and big data on business decision-making.

Official Website | Amazon

Mastering Data Science with Northcentral University’s 100% Online Offerings

No matter the industry you’re in, the ability to effectively mine data to aid in key decision-making functions is a sought-after skill. Northcentral University’s Doctor of Philosophy in Data Science and Master of Science in Data Science are both designed to provide students with the knowledge and hands-on experience they need to unleash the power of data. Lessons covered include data mining and analysis, business intelligence, databases, data visualization and reporting, and tactical data management.

To find out which of the above post-grad courses is right for you, call 1-866-776-0331 to speak with an enrollment advisor. You may also fill out the form below to request for information.