Graduate Quantitative Methods Center

Explore the basics of inferential statistics, including hypothesis testing, confidence intervals, and p-values, to make predictions about populations from samples.

A neat and customized website is a great platform to showcase your research projects and teaching experiences. Please join us to learn how to create a personal website using GitHub with CSS and HTML.

This workshop will provide foundational knowledge for new R users regarding R basics, including operations, data types and structures, functions, control structures, and wrangling.

Get your data ready for analysis with a deep dive into R package tidyverse. Learn how to pivot, group, join, filter, and mutate data.

Dive into the dynamic world of web development with our Introduction to JavaScript workshop, tailored for beginners. This workshop covers essential JavaScript concepts including the Call Stack, understanding Primitive and Value Types, distinguishing between 'let' and 'const', and comparing '==' vs '===' vs 'typeof'. Delve into function, block, and lexical scope, explore the nuances of the Temporal Dead Zone, and demystify closures and the workings of the JavaScript engine. Equip yourself with the tools to write robust and efficient JavaScript code!

Learn the fundamentals of big data analytics, exploring how to process and analyze large datasets using Hadoop and Spark frameworks.

Explore the foundations of Linear Regression. Dive deep into validating key model assumptions: Linearity, normality, Homoscedasticity and more

Struggling with making your dissertation format right? Join our LaTex workshop for publication quality papers with math notation, citations, figs, stats tables & online editor (Overleaf). Beginners welcome!

Learn the basics of choosing the right test (i.e. a t-test vs ANOVA vs chi-square) for your research question and data, including the type of data, sample size, and independence of samples.

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Unlock the potential of Singular Value Decomposition for dimensionality reduction and enhancing Linear Regression analysis. Become a more efficient programmer and statistician.

This workshops introduces basic programming constructs in python and enables users to understand basics, including syntax, operations, data types and structures, functions, control structures, and simple data manipulation.