[AISWorld] Results - Analytics textbooks

Jerry Flatto jflatto at uindy.edu
Wed Mar 16 21:27:05 EDT 2016


Hi all.  I recently posted a requests for feedback related to analytics
textbooks.  Below is my original posting and the responses received.  As
feasible, names have been removed to protect the guilty.  :)  

 

I was particularly interested in textbooks that provided the conceptual
material that I could use to complement the hands-on material for applied
projects I incorporate into my classes.  I currently use a variety of
articles and software manuals.   I was explicitly looking for textbooks
because I wanted the support material, particularly instructor's materials
such as cases, discussion questions, and PowerPoints.   My goal was to use
the textbook(s) for multiple courses and pull different chapters as
appropriate for the specific analytics class. 

 

Bottom line - there is a dearth of analytics textbooks.  There are some
textbooks that are more discipline specific such as management science. 

 

Jerry

 

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Dr. Jerry Flatto, Professor, Information Systems Department - School of
Business

University of Indianapolis, Indianapolis, Indiana, USA
<mailto:jflatto at uindy.edu> mailto:jflatto at uindy.edu

 

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From: Jerry Flatto [mailto:jflatto at pobox.com] 
Sent: Monday, March 7, 2016 9:47 AM
To: 'AISWorld at lists.aisnet.org' <AISWorld at lists.aisnet.org>
Subject: Analytics Textbooks for graduation and Undergraduate classes

 

I am looking for textbook recommendations for an undergraduate and graduate
curriculum in analytics.  

 

What books are folks using and/or recommend?  Any recommendations on books
to avoid? J

 

I am familiar with the following books:

*       Business Intelligence: A Managerial Perspective, third edition

*       Business Intelligence and Analytics, tenth edition

*       Business Analytics: Methods, Models and Decisions, second edition

 

What other books or resources are faculty using?

 

I will share the results with all identifying information deleted to protect
the innocent and guilty.

 

Thanks.

 

Jerry 

 

 

For my theoretical book, I use the BI: Managerial Perspective (3rd ed) for a
3rd year undergrad class. I find it is ok to teach from but a bit confusing
at times. I may switch in the future.

For a practical book, and with the increasing support of rapidminer, I am
considering adopting either Data Mining for the Masses (North; Available as
an Ebook) or this book (https://books.google.ca/books?id=dRHoAwAAQBAJ
<https://books.google.ca/books?id=dRHoAwAAQBAJ&printsec=frontcover&dq=bala+d
espande+predictive+analytics&hl=en&sa=X&redir_esc=y#v=onepage&q=bala%20despa
nde%20predictive%20analytics&f=false>
&printsec=frontcover&dq=bala+despande+predictive+analytics&hl=en&sa=X&redir_
esc=y#v=onepage&q=bala%20despande%20predictive%20analytics&f=false).

Hope this helps.

 

 

 

I've been using "Data Mining for Business Intelligence" by Shmueli et al
(2nd ed.) for four years and it works out well.  I typically supplement the
statistical coverage.  They are coming out with a new (3rd) edition this
year.  I look forwards to seeing your list.

 

Cheers,

 

 

 

You might consider my book, which costs $9.99

 

See http://richardtwatson.com/dm6e/

 

I think students need a sound grounding in data modeling and SQL for data
analytics, which is the first half of the book. The second half covers the
use of R for data management, visualization, text mining, and Hadoop and
MapReduce, among other things.

 

The Instructor's Manual is online so that you always have access to the
latest version

 

Richard Watson <rickwatson at mac.com>

 

 

 

 

Epistemy Press recently published Practical Analytics by Kale and Jones.

 

Details at https://madmimi.com/s/d02927

 

 

 

I teach a data wrangling course in our Analytics degree, and haven't found
good material in traditional textbooks, which I find are mostly intended for
one-semester surveys of all analytics topics.

 

I would definitely recommend Nate Silver's "The Signal and the Noise"

as an introductory reading in the first class.  The gist of it is that
different types of problem spaces require different types of analytical
models, so it connects what they might have learned in math and stats
classes with real world problem solving.

 

But it's not a textbook you could carry from one semester to the next.

 

 

 

 

Have a look at my book in seven layers of social media analytics: 

http://7layersanalytics.com/introduction-to-the-book/

 

Thank you,

 

 

 

 

I teach a graduate course in Business and Competitive Intelligence. I teach
analytics from a management perspective. The course is high level, not
overly technical. 

 

I use this book:

 

Business Analytics for Managers: Taking Business Intelligence Beyond
Reporting

Gery H.N. Laursen and Jesper Thorlund, Wiley. ISBN-13: 978-0470890615.  

 

with this one:

 

Data Mining: Practical Machine Learning Tools and Techniques

Ian H. Witten, Eibe Frank, and Mark A. Hall, Morgan Kauffman. ISBN-13:
978-0123748569.

 

WEKA is an open source program. The interface is user friendly for
non-programmers, and for more depth, advanced features of WEKA can be
programmed with Java. 

 

 

 

 

I published an exercise and assignment book - specifically for predictive
analytics using SAS Enterprise Miner. If interested please let me know so I
can send an evaluation copy. Also, the textbook is available through Amazon
Kindle: http://amzn.com/B01AVJDEUW

 

Additionally, I use the following textbook to cover predictive analytics

concepts:

"Data Mining for Business Intelligence: Concepts, Techniques, and
Applications in Microsoft Office Excel with XLMiner, 2nd Edition," by Galit
Shmueli; Nitin R. Patel; Peter C. Bruce.

John Wiley & Sons, 2010.

ISBN-13:  978-0470526828

 

 

 

 

For the general (intro) analytics course, I have used both Winston and
Albright; and Powell and Baker in the past.  But these books are more
general statistics/OR resources, not really much about viz.  They are
well-done, though:

*	Winston and Albright (Indiana U.): Practical Management Science
(ISBN-13: 978-1111531317)
*	Albright and Winston (Indiana U.): Business Analytics: Data Analysis
& Decision Making (ISBN-13: 978-1133629603)
*	Powell and Baker (Dartmouth): Management Science: the Art of
Modeling with Spreadsheets (ISBN-13: 978-1118582695)

 

 




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