2018 Big Data Analytics: materials

Welcome! We will use one principal textbook, with a variety of supplements.

The TA will be available to help with software installation before and after the class of April 4. Location uncertain. Look for her in the lobby of the auditorium. 

1. Main Text DMBA: Data Mining for Business Analytics: Concepts, Techniques, and Applications in R.     by Galit Shmueli et al.

This textbook is required.  It’s a good survey of the topic. It uses R, which is the only language we will use in the course. This book will be referred to as DMBA.

You can get the  book  on Amazon for about $106, or Kindle for $90, or a company called VitalSource  online version for about $100. I’m not familiar with VitalSource, but they appear to have sensible study aids, and they claim “read anywhere, 100% offline.” Data Mining for Business Analytics: Concepts, Techniques, and Applications in R 1st edition | 9781118879368 | VitalSource.   You can even rent the book from Amazon for $44. So everyone will find it worthwhile to have your own copy for the assignments, studying, etc.   I have asked the UCSD bookstore to get it. I suspect they will charge close to the list price.

The UCSD library has the e-book. It is on their ProQuest platform. The rules on that platform limit use to 3 simultaneous users, so when you are done reading a section, close the page. http://roger.ucsd.edu/record=b9688724

2. Supplemental text for first 2 weeks: DMRR

  Our supplemental textbook is: Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery by Graham Williams. 

Log in from campus (or VPN) so you don’t have to pay for it.

3. Other reference books (optional)

The UCSD library, via Springerlink.com and other sources, has a variety of good books on data mining, AI, business analytics, and so forth. All are available free, and most can be downloaded as PDFs. We will use chapters from some of these books.  By week 4, check out Springerlink, which has thousands of free technical books on every computer language and applied math method you can think of. If you like physical books, hard  copy versions of all Springerlink books are available  for $25 each. Springer has a collection called “Use R!” of about 100 books, at http://link.springer.com/search/page/2?facet-content-type=%22Book%22&query=%22use+R%22

ISLR: For reference and to fill holes on statistical issues, I will mainly refer to An Introduction to Statistical Learning with Applications in R  (ISLR) by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.

R-Stata If you are proficient with Stata, get this book. R for Stata Users  . Similarly, there are “translation” books for other computer lanuages.

Some of these books and web courses are also available in Chinese. A  few are available in other languages.

4. Software

We will use  the following software: The R statistical language, the Rattle package for R which provides a graphical user interface (GUI),  RStudio, and numerous special purpose analysis packages that you load via R as the course unfolds.  All of this software is free.




Author: Roger Bohn

Professor of Technology Management, UC San Diego. Visiting Stanford Medical School Rbohn@ucsd.edu. Twitter =Roger.Bohn

3 thoughts on “2018 Big Data Analytics: materials”

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s