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Working With Data: Fundamentals

DATA 70500, Graduate Center, Fall 2023, Prof. Timothy Shortell

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Code

Python

Finding Data
Linear Model 1
Merging Data
Linear Model 2
Survey Data 1
Survey Data 2
Survey Data 3
Telling a Story with Data
Text Analysis 1
Text Analysis 2
Content Coding
Content Coding 2
Researching Twitter 1
Introduction to Big Data
Big Data NYC
Machine Learning 1
Machine Learning 2

 

R

Installation
Introduction to R
Re-introduction to R
Textbook Examples
Measurement
Data Input
Central Tendency
Graphing 1
Graphing 2
Crosstabulation and Odds
More on Odds
Proportions and Odds
Confidence Intervals
Means
T-test
ANOVA
Factorial ANOVA
More on Factorial ANOVA
Correlation and Linear Regression
Creating Dummy Variables (binary vectors)
Recoding and Indexing
More Recoding and Indexing
Multiple Linear Regression
More Multiple Linear Regression
More on Least Squares Regression
Stepwise Linear Regression
Logistic Regression
More Logistic Regression
Even More Logistic Regression
Yet More Logistic Regression
General Linear Model
Modeling with Counts
Log-linear Analysis
An Example of Log-linear Modeling
Poisson Regression
Principal Components Analysis
More PCA
Still More PCA
A PCA Example
Another PCA Example
Multidimensional Scaling
More Multidimensional Scaling
A Research Example of MDS
Clustering
More Clustering
Comparison of Latent Structures
Event History Analysis
Longitudinal Regression (LMER)
Examples of Trends
Time Series I (trends)
Time Series II (ar, ma)
Moving Average (width=3)
Time Series Regression (arima)

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