Data Analysis and Visualization in R for Public Health

Schedule

	Setup	Download files required for the lesson
00:00	1. Introduction	What do we try to accomplish when we perform data analysis? Why would a researcher use R for public health analysis? What are the benefits of adopting reproducible research practices?
00:10	2. Introduction to R and RStudio	How to find your way around RStudio? How to interact with R? How to manage your environment? How to install packages? How to work in R Markdown documents?
01:05	3. R Basics, Part 1: Data types and Functions	How are different kinds of data represented in R? What is a variable in R? How do I test assertions about data?
02:10	4. Reading in Data	How do I load in a data set? Once I’ve loaded in my data, how do I look at it?
02:55	5. Merging and Joining Data	How can I combine data from different sources?
03:50	6. Selecting and Renaming Variables, and Subsetting	How can I narrow down to just the variables of interest? How can I rename variables?
04:07	7. Exploring Continuous Data	How can I calculate basic statistics of a variable? How can I check normality assumptions? How can I see the distribution of a variable?
05:02	8. Exploring Categorical Data	How can I tabulate frequencies of a single categorical variable? How can I tabulate contingency tables? How can I generate a bar chart to visualize categorical data? How can I check for missing data? MAYBE: Cross-correlations??
05:57	9. Creating summary tables	How can I create a ‘Table 1’ style table? How can export tables and data
06:52	10. Data Cleaning	How can I focus on just the variables I’m interested in? What are some ways of viewing the raw frequencies of variables? How to count the number of cases vs. controls? How to assess nulls/missing values in my data
07:47	11. Transforming Data	How can I focus on just the variables I’m interested in? What are some ways of viewing the raw frequencies of variables? How to count the number of cases vs. controls? How to assess nulls/missing values in my data
08:42	12. Creating univariate regression models	How can I make a graph of my regression? How can I look at residuals? How can I assess and remove outliers? How can I export publication-quality graphics?
09:37	13. Building a regression model	How can I perform a univariate regression (one x variable)? How do I interpret the results of a regression? How can I make a graph of my regression? How can I look at residuals? How would I perform a logistic regresion? How can I build a multivariate model and perform regression? How can I perform model selection? How can I assess and remove outliers?
10:32	Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.