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Beginning Quantitative Research
Regression Models for Categorical and Count Data
Survey Research and Sampling
Exploratory and Descriptive Statistics
Archival and Secondary Data
Experimental Designs
Doing Computational Social Science
Doing Document Analysis
Bayesian Methods in Statistics
Applied Statistics Using R
Communicating with Data Visualisation
Doing Data Science in R
How to Make Sense of Statistics
Moving from IBM® SPSS® to R and RStudio®
Using Microsoft Excel for Social Research
A Practical Introduction to Survey Design
Geographical Data Science and Spatial Data Analysis
Understanding Quantitative Data in Educational Research
Introduction to Python Programming for Business and Social Science Applications
An R Companion for Applied Statistics II
Essential Maths Skills for Exploring Social Data
A Guide to R for Social and Behavioral Science Statistics
An R Companion for Applied Statistics I
Applied Statistics II
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