# DATA 606 Statistics & ProbabilitySpring 2021

## Announcements

### Final Meetup

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### Bayesian Analysis

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### Logistic Regression

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### Multiple Regression

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### Linear Regression (cont.)

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### Linear Regression

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### Inference for Numerical Data

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### Inference for Categorical Data

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### Foundation for Inference Part 2

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### Foundation for Inference Part 1

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### R Package Development

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### Distributions

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### Probability

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### Summarizing Data

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### Intro to Data

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### Intro to the Course

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### Welcome to DATA606!

Welcome to DATA606! Your instructors will be Dr. Jason Bryer and Dr. Angela Lui. Couple of important notes as you get started: The course syllabus located here: https://spring2022.data606.net/course-overview. We will post all course materials there. Blackboard will be used primarily for submitting assignments. Please read the syllabus carefully! Send us any questions you may still have about the course. Complete this Google Form as soon as possible. We will use some of the data (in aggregate) in the meetup.

### Getting Started with R

To get started with the labs, you will need to install R and other supporting applications. Links to download all the software is on the Software page which is also available on the Course Overview menu. Once you are in RStudio, you will need to install a number of R packages using the following two commands:

Last updated on Wed May 11, 2022
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