Daily Schedule

Before Starting the Program

To-Do
Download and Install R	Link Video
Download and Install RStudio	Link Video
Setup RStudio	Video
Download packages	File Video

Day 1 ● July 6 ● Introduction to COSMOS, R, and Data

Time	Topic	Links
09:00 - 09:30	Welcome	Slides
09:35 - 10:30	Introduction to R and R Markdown	Slides
10:45 - 12:00	Introduction to Data	Slides ● File

Day 2 ● July 7 ● Summarizing Data

Time	Topic	Links
09:00 - 09:50	Describing Data with Numbers	Slides ● File
10:00 - 10:50	Interpeting Data Visualizations	Slides
11:00 - 12:00	Visualizing Data	Slides ● File
13:00 - 15:00	Lab: Summarizing Data	File

Day 3 ● July 8 ● Data Wrangling

Time	Topic	Links
09:00 - 09:40	Improving Data Visualizations	Slides ● File
09:40 - 10:00	Pipe operator	Slides
10:10 - 11:00	Subsetting and Grouping Data	Slides ● File
11:10 - 12:00	Changing Variables	Slides

Day 4 ● July 9 ● Dealing with Data Frames

Time	Topic	Links
09:00 - 09:30	R packages	Slides ● File
09:30 - 10:00	Importing Data	Slides
10:10 - 11:00	Data Joins	Slides ● File
11:10 - 12:00	Review	Slides ● File
13:00 - 15:00	Lab: Exploring Data	Activity

Day 5 ● July 12 ● Probability

Time	Topic	Links
09:00 - 09:50	Introduction to probability	Slides ● Activity
10:00 - 10:50	Joint vs. marginal
11:00 - 12:00	Conditional probability and independence

Day 6 ● July 13 ● Random variables

Time	Topic	Links
09:00 - 09:50	Random variables	Slides ● Activity
10:00 - 10:50	Probability distributions
11:00 - 12:00	Discrete vs. continuous distributions

Day 7 ● July 14 ● Estimation

Time	Topic	Links
09:00 - 10:20	Sampling distribution	Slides ● File
10:30 - 12:00	Confidence interval	Slides ● File ● File
Extra	Overview	Slides

Day 8 ● July 15 ● Hypothesis testing

Time	Topic	Links
09:00 - 09:50	Null vs. alternative	Slides ● Activity
10:00 - 10:50	t-test
11:00 - 12:00	z-test for proportions

Day 9 ● July 16 ● Testing relationships

Time	Topic	Links
09:00 - 09:50	Two-sample t-test	Slides ● Activity
10:00 - 10:50	Chi-squared test for contingency tables
11:00 - 12:00	Overview of the final project

Day 10 ● July 19 ● Simple Linear Regression

Time	Topic	Links
09:00 - 09:50	Introduction	Slides ● Activity
10:00 - 10:50	Binary explanatory variable
11:00 - 12:00	Numerical explanatory variable

Day 11 ● July 20 ● Multiple Linear Regression

Time	Topic	Links
09:00 - 09:50	Introduction	Slides ● Activity
10:00 - 10:50	Additive models
11:00 - 12:00	Interaction

Day 12 ● July 21 ● Logistic Regression

Time	Topic	Links
09:00 - 09:50	Introduction	Slides ● Activity
10:00 - 10:50	One binary explanatory variable
11:00 - 12:00	Multiple explanatory variables

Day 13 ● July 22 ● Review

Review of statistical inference.

Day 14 ● July 23 ● Final Project

Data pre-processing and preliminary analysis for the final project.

Day 15 ● July 26 ● Drawing conclusions

Time	Topic	Links
09:00 - 09:30	Sample vs. Population	Slides
09:30 - 10:00	Study Design	Slides
10:10 - 11:00	Model Assumptions	Slides
11:10 - 12:00	Model Evaluations	Slides

Day 16 ● July 27 ● Ethics and Communicating Findings

Time	Topic	Links
09:00 - 10:00	Ethics Case Studies	Link
10:10 - 11:20	Improving Data Visualizations	Link
11:30 - 12:00	Studying Data Science in College	Link
13:00 - 15:00	Model evaluation and validation for projects

Day 17 ● July 28 ● Final Project

Hands-on work on finalizing project analysis and communication of findings.

Day 18 ● July 29 ● Presentation Rehearsals

Time	Topic	Links
09:00 - 10:00	Practice within groups
10:10 - 12:00	Presentations and feedback

Day 19 ● July 30 ● Project Presentations

Time	Topic	Links
09:45 - 10:30	Final Presentations	Slides