Data Science Without Much Math

Data Science Without Much Math by David Olive Preprint M-02-006 Copyright July 2018

1st draft of course notes for Data Science Without Much Math. This manuscript is unfinished. Revisions are ongoing. The .PDF version below is as of January 2019. If you wish to contact the author, click here. The complete text is in the file dsnotes.pdf.
	.PDF Version	R Programs	R Data	R Code
	dsnotes.pdf	dspack.txt	dsdata.txt	dsrhw.txt

Table of Contents	Pages	PDF
Preface	i-xii	cont
Chapter 1-Introduction	1-10	ch1
Chapter 2-Summarizing Data With Graphs	11-31	ch2
Chapter 3-Summarizing Data with Statistics	32-71	ch3
Chapter 4-The Normal Distribution	72-116	ch4
Chapter 5-Scatterplots and Correlation	117-137	ch5
Chapter 6-Regression	138-164	ch6
Chapter 7-Sampling	165-177	ch7
Chapter 8-Probability	178-198	ch8
Chapter 9-Confidence Intervals and Hypothesis Testing	199-212	ch9
Chapter 10-CART	213-245	ch10
Chapter 11-	246-252	ch11
Chapter 12-	253-306	ch12
Chapter 13-Clustering	307-308	ch13
Chapter 14-Stuff for Students	338-357	ch15
Bibliography	358-380	bib

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