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POLI2300.01 Spring 2020 Introduction to Data Science (Krupenkin)

19 Episodes
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Here, we'll talk about ethics & best practices for using data, and what happens when a study goes horribly wrong.
This is the R demo on regression and uncertainty
Today, we'll be talking about regressions and uncertainty.
Here, we talk about the key to problem set 3
Here's the demo on how to do T-tests in R
Today, we're going to talk in depth about t-tests.
Today, we're going to talk about hypothesis testing.
In this episode, I'll be doing an R demo around confidence intervals.
We'll be using R to plot the incidence of coronavirus in the US
Today, we'll be talking about confidence intervals.
Here's the R demo from the lecture on 4/3.
Today, we're going to be talking about text as data and using text analysis to determine the authorship of the disputed federalist papers.
Here, we review the Law of Large Numbers and the Central Limit Theorem using an R demo
Today, we wrap up our probability unit by talking about conditional probability and Bayes Rule.
This is the R Demo for class on 3/25. It contains an introduction to sampling in R.
Today, we start our probability module. We talk about random variables and the uniform, normal, and binomial distributions.
Today, we'll be going over the key to Problem Set 2. Please download the key from canvas to follow along.
Hi everyone! Today, I'm going to talk a bit about the course structure and expectations moving forward.



