Teach Data Science - Home

abernard102@gmail.com 2014-09-29

Summary:

"This is the companion site to the electronic textbook, Introduction to Data Science, by Jeffrey Stanton. This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science. For more technical readers, the book provides explanations and code for a range of interesting applications using the open source R language for statistical computing and graphics. If you find errors or omissions, please contact the author, Jeffrey Stanton, at jmstanto@syr.edu. The book is suitable for an introductory course in data science where students have a varied background or as a supplement to an advanced analytics course where students would benefit from an introduction to R ... This book was developed for the Certificate of Data Science program at Syracuse University’s School of Information Studies. For more information about that program, please visit the iSchool’s website:http://ischool.syr.edu/future/cas/datascience.aspx  This book is distributed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 license. You are free to copy, distribute, and transmit this work. You are free to add or adapt the work. You must attribute the work to the author(s) listed above. You may not use this work or derivative works for commercial purposes. If you alter, transform, or build upon this work you may distribute the resulting work only under the same or similar license. Please contact the author for more information about supplementing or transforming this content."

Link:

http://jsresearch.net/

From feeds:

Open Access Tracking Project (OATP) » abernard102@gmail.com

Tags:

oa.new oa.data oa.libraries oa.librarians oa.syracuse.u oa.textbooks oa.books

Date tagged:

09/29/2014, 11:44

Date published:

09/29/2014, 07:44