Author: Len Greski

This repository contains content developed during my time as either a student or Community TA in the Data Science Specialization from Johns Hopkins University that is offered over Coursera.

As a participant and TA in courses in the curriculum, there are patterns of similar issues experienced by students. Migrating the content to github will facilitate reposting it to new runs of courses within the curriculum. This will make it easier for students to have access to the experiences from prior students without me having to cut and paste the content into Discussion Forums, which are the primary mechanism for communication between students and with TAs.

The remainder of this document serves as a directory of the content, aligning individual documents with the course(s) for which the content is relevant.

1. Configuring RStudio to work with git / github - Mac OSX
2. Configuring RStudio to work with git / github - Windows 7, 8, and 10
3. Using Editor Modes in Discussion Forum Posts

General commentary about the course, R programming in general, and R in relationship to other statistics packages.

1. Commercial Statistics Packages: An Historical Perspective
2. Configuring RStudio to work with git / github - Mac OSX
3. A Data Frame is Also a List
4. S Objects, R Objects, and Lexical Scoping
5. Thinking in R versus Thinking in SAS
6. Strategy for the Programming Assignments
7. Why is R More Difficult than SAS?

1. Assignment 2: makeCacheMatrix as an Object
2. Assignment 2: Grading the SHA-1 Hash Code
3. Assignment 3: Functions to Sort Data Frames

1. Common R Mistakes: Overwriting R Functions with Output Variables

1. Real World Example: Reading American Community Survey data
2. Strategy for Reading Files & APIs / Quiz 2

1. Assignment 2 Checklist

1. Exponential Distribution / Central Limit Theorem - Assignment Checklist
2. ToothGrowth Analysis - Assignment Checklist
3. Exploratory Data Analysis in ToothGrowth Assignment, explaining the exploratory data analysis requirement for students who have not taken the Exploratory Data Analysis course prior to taking Statistical Inference.
4. Using MathJax with Discussion Forums, R Markdown, and Github Pages
5. Kable Tables with Data Frames illustrates how to display a custom table in a knitr() document by creating a data frame to contain the information to be rendered with kable().

1. Why does sum of errors * X equal 0?
2. Using MathJax with Discussion Forums, R Markdown, and Github Pages

1. Course Project - gh-pages Setup with RStudio
2. Course Project - Improving Runtime Performance of Random Forest Models with caret::train()
3. Course Project - Predicting Test Scores based on Training Model Accuracy

1. Configuring shinyapps.io Application Timeout