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Daemen University

Mathematics (Data Science) Capstone -- MTH 460

 

Course Description (from the College):  Fulfills core competency: Information Literacy. Research and Presentation requirement. Writing Intensive. This course has been designed to give students an introduction to research and literature in mathematics. Students will demonstrate their research, analytical, oral, and writing skills by researching and writing an original document (minimum 12 pages) based on sources appropriate to the discipline and approved by the instructor. At the end of the semester students will offer oral presentations to the class with selected members of the Daemen College community in attendance. Prerequisite: Junior/Senior status. Offered As Needed. (UG) 3 Credit Hour(s)

 

Syllabus/Syllabus -- in Word format

Homeworks
 

Important Dates

 

see the syllabus for a more detailed calendar
 

Email List

can be gotten through Blackboard

Announcements:

Math Adjunct Office
My voicemail
My Daemen email: bmccall@daemen.edu
Office hours: see syllabus


 

Homeworks

 

Data Analyses
(data files are in .xlsx format)

 

Code Examples

 


Readings

   
   
   
   
   
   
   
   
   
   
   
   
   
   
   

R Tutorials:

Bar Graphs (base R)
Boxplot (base R)
Dotplots (base R)
Histogram (base R)
Normal Distribution shaded between two values (base R)
Normal Probability Plots (base R)
Scatterplots with Trendlines and Residual Graphs (base R)

 

Handouts:

Answer Keys


Resources

Tutorials on Advanced Stats and Machine Learning With R
Applied Statistics with R (textbook)
Intermediate Statistics with R (textbook)
Probability and Statistics for Engineering and the Sciences, Jay. L. Devore, 8th ed. (textbook)
Introductory Statistics (textbook)
Practical Statistics for Data Scientists (textbook)
Online Statistics Book (textbook)
A Little Book of Time Series Analysis for R (textbook)
A Course in Time Series Analysis (textbook/notes)
Introduction to Probability for Data Science (textbook)
Friedman's ANOVA Test
How to Perform Friedman's Test in R
Kendall's Tau
Calculating Kendall's Rank Correlation in R
Introduction to Bootstrapping (Statistics by Jim)
Boostrapping in R
Tutorial on Permutation Tests in R
How to use Permuation Tests
Understanding AUC-ROC Curves
Some Packages for ROC Curves
Time Series Analysis in R
Getting Started with Multiple Imputation in R
Basic Statistics Using R
Learning Statistics with R
Statistics with R (Table of Contents)
Stats and R
Intro to Hypothesis Testing in R
R-Tutorial: An R Introduction to Statistics
Tidy Modeling with R
R Cheatsheets
Free Web Books for Learning (Statistics) with R
Easier ggplot with ggcharts
R Color Brewer's Palettes
Markdown Cheat Sheet
Smoothing
Cubic and Smoothing Splines in R
B-Spline Basis for Polynomial Splines
Data Minin in R
R and Data Mining
Data Mining with R: Part 1
R Companion for Introduction to Data Mining
R Reference Card for Data Mining
Data Mining in R
R and Data Mining (U. Idaho)
R and Data Mining (Cornell) (Resources)
Data Mining Applications with R
Data Mining Tutorial

R Project
R Studio
Anaconda
Using R with Anaconda

 

Links!

PDF Graph Paper
Bad Graphs (Convention Speeches)
Visualizing Data Badly: 8 Examples
Correlation is not Causation: orginal article / handout
Presidents by State
TI-Connect Software
How much people lie on surveys
On the Hazards of Significance Testing
Exploring Correlation and Regression
Central Limit Theorem: with Bunnies and Dragons
SOCR: Statistics Online Computational Resources
How Many Ways Can You Arrange a Deck of Cards?
Free Online Math Courses
Confidence Interval for Rho
Free Courses from Coursera

Coding
R Tutorials

 

 

 
(c) 2013, 2007, 2004 by Betsy McCall, all rights reserved
To contact the webmistress, email betsy@pewtergallery.com
Last updated: 2022 May 8th