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Archival and Secondary Data
Statistical Approaches to Causal Analysis
Experimental Designs
Beginning Quantitative Research
Doing Computational Social Science
Applied Statistics Using R
Bayesian Methods in Statistics
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
Essential Maths Skills for Exploring Social Data
A Guide to R for Social and Behavioral Science Statistics
Applied Statistics II
Easy R
Statistical Methods for Geography
Generalized Linear Models for Bounded and Limited Quantitative Variables
Exploratory Factor Analysis
Multilevel Modeling
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