From c60fc4014d84bdd0ae5110ac6a19591ec3a717ab Mon Sep 17 00:00:00 2001
From: Martin Monkman <monkmanmh@yahoo.ca>
Date: Sat, 9 Feb 2019 10:21:33 -0800
Subject: [PATCH] competing on analytics etc

---
 02_data_science_defined.Rmd | 22 ++++++++++++----------
 book.bib                    | 21 +++++++++++++++++++++
 2 files changed, 33 insertions(+), 10 deletions(-)

diff --git a/02_data_science_defined.Rmd b/02_data_science_defined.Rmd
index 4dce488..36be423 100644
--- a/02_data_science_defined.Rmd
+++ b/02_data_science_defined.Rmd
@@ -15,9 +15,7 @@ theme_set(theme_light())
 
 ***
 
-## What is this thing called "data science"?
-
-### Theory
+## Theory
 
 David Donoho (2015) [_50 Years of Data Science_](http://courses.csail.mit.edu/18.337/2015/docs/50YearsDataScience.pdf), based on a presentation at the Tukey Centennial workshop, Princeton NJ Sept 18 2015.
 
@@ -37,7 +35,7 @@ David Robinson (2018-01-09) ["What's the difference between data science, machin
 Mango Solutions (2018-08-15) ["Demystifying Data Science Terminology"](https://www.mango-solutions.com/blog/demystifying-data-science-terminology)
 
 
-### Philosophy
+## Philosophy
 
 Angela Bassa (2017) [Data Alone Isn’t Ground Truth … and why you should always carry a healthy dose of skepticism in your back pocket](https://medium.com/@angebassa/data-alone-isnt-ground-truth-9e733079dfd4)
 
@@ -67,9 +65,10 @@ Roger Peng, [_R Programming for Data Science_] [@Peng2018]
 
 * Roger Peng's [other books on LeanPub](https://leanpub.com/u/rdpeng)
 
-Chester Ismay, 2017-03-02, [Getting used to R, RStudio, and R Markdown](https://ismayc.github.io/rbasics-book/)
+Chester Ismay and Albert Y. Kim, 2017-08-02, [An Introduction to Statistical and Data Sciences via R](http://moderndive.com/) [@Ismay_Kim_2018]
+
+* Chester Ismay, 2017-03-02, [Getting used to R, RStudio, and R Markdown](https://ismayc.github.io/rbasics-book/)
 
-Chester Ismay and Albert Y. Kim, 2017-08-02, [An Introduction to Statistical and Data Sciences via R](http://moderndive.com/)
 
 
 
@@ -85,21 +84,24 @@ Chester Ismay and Albert Y. Kim, 2017-08-02, [An Introduction to Statistical and
 [Using Big Data to Solve Economic and Social Problems](http://www.equality-of-opportunity.org/bigdatacourse/) -- course at The Equality of Opportunity Project
 
 
-### Data Science Careers
+### Data science careers
 
 Jonny Brooks-Bartlett (2018-03-28) [Here’s why so many data scientists are leaving their jobs](https://towardsdatascience.com/why-so-many-data-scientists-are-leaving-their-jobs-a1f0329d7ea4) -- a splash of cold water realism in the face
 
 
 ***
 
-## Learning data science
+## The skills of data science
 
 Of course, how you set out to learn data science hinges on how you define data science. A typology based on data users might be helpful; knowing what sort of data scientist you are will shape what you might want to learn.
 
 
-### Data analytics leadership
+### Data science leadership
+
+Thomas H. Davenport and Jeanne G. Harris, [_Competing on Analytics: The New Science of Winning_], Harvard Business School Press, January 2007. [@Davenport_Harris_2007]
+
 
-Thomas H. Davenport, ["Competing on Analytics"](https://hbr.org/2006/01/competing-on-analytics), _Harvard Business Review_, January 2006.
+* Thomas H. Davenport, ["Competing on Analytics"](https://hbr.org/2006/01/competing-on-analytics), _Harvard Business Review_, January 2006.
 
 Angela Bassa, ["Managing a Data Science Team"](https://hbr.org/2018/10/managing-a-data-science-team), _Harvard Business Review_, 2018-10-24
 
diff --git a/book.bib b/book.bib
index 924479d..25d3395 100644
--- a/book.bib
+++ b/book.bib
@@ -1,3 +1,14 @@
+@Book{@Davenport_Harris_2007,
+  title = {Competing on Analytics: The New Science of Winning},
+  author = {Thomas H. Davenport and 
+            Jeanne G. Harris},
+  publisher = {Harvard Business School Press},
+  year = {2007},
+  note = {ISBN 978-1-4221-0332-6}
+}
+
+
+
 @article{tm,
   title = {Text Mining Infrastructure in R},
   author = {Ingo Feinerer and
@@ -12,6 +23,16 @@ @article{tm
   }
 
 
+@Book{Ismay_Kim_2018,
+  title = {Modern Dive: An Introduction to Statistical and Data Sciences via R},
+  author = {Chester Ismay and 
+            Albert Y. Kim},
+  publisher = {self-published},
+  year = {2018},
+  url = {https://moderndive.com/},
+}
+
+
 @Book{Peng2018,
   title = {R Programming for Data Science},
   author = {Roger D. Peng},