Bus 554/454 Textbooks Fall 2016

No Required Books!

There are NO required books for Bus 554/454 Advanced Data Science for the Fall of 2016.

Please note that there is a huge amount of material on the internet and I will refer you to a lot of internet based materials during the course (e.g., an R tutorial). In addition, you will use materials that I have developed and, of course, your notes from class.

Books You MIGHT Consider

If you would like a general, easy to read, book about data science that will give you a clear idea of why data science is important, then you might consider the book Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by E. Siegel and T. H. Davenport. I enjoyed reading this book. This is tangential to the course, however, as I will begin the course assuming that you have some idea of what data science is and are enthusiastic about the subject. If you are interested in this book, I would suggest reading a good chunk of it before the course begins. Clicking on the image below will take you to the Amazon.com page for the book.

A technical book that you might want to consider buying as a reference for the course material is An Introduction to Statistical Learning with Applications in R by James et al. I have used this book quite a bit in developing material for various topics I cover in the course.

However, this book is calculus-based, and I expect that it will not be accessible to a substantial portion of the students in the course. Thus, I am not really recommending the book for the course. The book is also expensive (considerably less expensive if you buy used). However, if you want a “deeper dive” into some of the material and have the math background for it, then you might consider this book.

Click on the image to go to the books page on Amazon.com.

If you want a book on R Programming, then one I often use is The Art of R Programming by N. Matloff. Again, I am not specifically recommending this book, but it is a good source. A student in the course recommended The R Inferno by P. Burns. I have not read this book, but I respect the opinion of the student that recommended it. If you click on the images below, you will be taken to the Amazon.com pages for these books.