Skip to main content
\( \newcommand{\lt}{<} \newcommand{\gt}{>} \newcommand{\amp}{&} \definecolor{fillinmathshade}{gray}{0.9} \newcommand{\fillinmath}[1]{\mathchoice{\colorbox{fillinmathshade}{$\displaystyle \phantom{\,#1\,}$}}{\colorbox{fillinmathshade}{$\textstyle \phantom{\,#1\,}$}}{\colorbox{fillinmathshade}{$\scriptstyle \phantom{\,#1\,}$}}{\colorbox{fillinmathshade}{$\scriptscriptstyle\phantom{\,#1\,}$}}} \)
Exploring Mathematics and Data Science with Technology
Dr. Steven Clontz
Contents
Index
Prev
Up
Next
Contents
Prev
Up
Next
Front Matter
Acknowledgements
Why Study Mathematics?
1
Programming for Data Science and Mathematics
Using Python
Using SageMath
2
Data and Collections
Numbers and Strings
Collections of Data
Programming with Data
3
Visualization of Data
Tables
Single-Variable Visualizations
Two-variable Visualizations
4
Measurements of Data
Centers of Data
Spread of Data
5
Making Predictions from Data
Measuring Correlation
The Fit Line
6
Modeling Random Events
Introduction to Probability
Combinatorics
7
Two-Dimensional Data and Complex Numbers
Cartesian Coordinates
Polar Form
8
Higher-Dimensional Data and Euclidean Space
Euclidean Vectors
Matrices
Determinants
Back Matter
Index
References
Colophon
Authored in PreTeXt
Colophon
Colophon
This book was authored in PreTeXt.