There are countless Analytics courses, tutorials, articles available online, but for some, having a book is still a necessity to learn. This is an up-to-date list of recommended books.
- Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (2013)
- Analytics: How to Win with Intelligence (2017)
- Storytelling with Data: A Data Visualization Guide for Business Professionals (2015)
- Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (2016)
- HBR Guide to Data Analytics Basics for Managers (HBR Guide Series) (2018)
- Business Analytics: Data Analysis & Decision Making (2014)
- Predictive Analytics For Dummies, 2nd Edition (2016)
- Business Analytics (2nd Edition) (2015)
- Marketing Analytics: Data-Driven Techniques with Microsoft Excel (2014)
- Business Analytics (3rd Edition) (2019)
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking (2013)
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the “data-analytic thinking” necessary for extracting useful knowledge and business value from the data you collect.
Learn how big data and other sources of information can be transformed into valuable knowledge – knowledge that can create incredible competitive advantage to propel a business toward market leadership. Learn through examples and experience exactly how to pick projects and build analytics teams that deliver results.
Don’t simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You’ll discover the power of storytelling and the way to make data a pivotal point in your story.
“Mesmerizing & fascinating” “The Freakonomics of big data.” , founding executive of Advertising.com In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day.
Today’s business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease insight from data–to understand where the numbers come from, make sense of them, and use them to inform tough decisions. How do you get started?Whether you’re working with data experts or running your own tests, you’ll find answers in the .
Customized for Paul Damien at the University of Texas at Austin.
You don’t need a time machine to predict the future. All it takes is a little knowledge and know-how, and Predictive Analytics For Dummies gets you there fast. With the help of this friendly guide, you’ll discover the core of predictive analytics and get started putting it to use with readily available tools to collect and analyze data.
Using data-driven business analytics to understand customers and improve results is a great idea in theory, but in today’s busy offices, marketers and analysts need simple, low-cost ways to process and make the most of all that data. This expert book offers the perfect solution. Written by data analysis expert Wayne L.
Business Analytics (3rd Edition) (2019)
For undergraduate or graduate business students. teaches the fundamental concepts of modern business analytics and provides vital tools in understanding how data analysis works in today’s organizations. Author James Evans takes a fair and comprehensive, approach, examining business analytics from both descriptive and predictive perspectives.
Best Analytics Books That You Need
We highly recommend you to buy all paper or e-books in a legal way, for example, on Amazon. But sometimes it might be a need to dig deeper beyond the shiny book cover. Before making a purchase, you can visit resources like Library Genesis and download some analytics books mentioned below at your own risk. Once again, we do not host any illegal or copyrighted files, but simply give our visitors a choice and hope they will make a wise decision.
Analytics Stories: Using Data to Make Good Things Happen
Author(s): Wayne L. Winston
ID: 2672802, Publisher: Wiley, Year: 2021, Size: 14 Mb, Format: pdf
Geographical Data Science and Spatial Data Analysis: An Introduction in R (Spatial Analytics and GIS) 1st Edition
Author(s): Lex Comber
ID: 2833620, Publisher: , Year: 2021, Size: 6 Mb, Format: epub
Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
Author(s): Aboul Ella Hassanien, Ashraf Darwish
ID: 2850913, Publisher: Springer, Year: 2021, Size: 24 Mb, Format: pdf
Please note that this booklist is not definite. Some books are absolutely record-breakers according to Los Angeles Times, others are composed by unknown writers. On top of that, you can always find additional tutorials and courses on Coursera, Udemy or edX, for example. Are there any other relevant links you could recommend? Drop a comment if you have any feedback on the list.