Graduate Quantitative Methods Center

Dive into Python's basics! This hands-on session covers variables, loops, functions, and basic data structures, laying the groundwork for coding and problem-solving.

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

Learn how to build and deploy a personal website using GitHub Pages in this hands-on workshop. We'll cover everything from setting up a repository to customizing your site using HTML and CSS. No experience needed!

Join us to learn about the following topics: Time Value of Money, Hypothesis Testing, Derivatives (Call/Put) Strategies, Forecasting.

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!

In the era of big data, the challenge often lies in the high dimensionality where the number of variables exceeds the number of observations, resulting in an underdetermined system akin to having more variables than equations. This creates complexities in finding unique solutions. This workshop delves into advanced statistical techniques tailored for the high-dimensional world, equipping you with the tools needed to effectively tackle prediction and inference challenges in such complex datasets.

Gain a foundational understanding of essential data structures like stacks, queues, graphs, and trees in this introductory workshop. Learn how they work, their use cases, and how to implement them in code.

This workshop will introduce Bayesian Statistics under an MCMC setting. In particular, we will focus on posterior distributions and sample generation via Markov chain sampling algorithms.

Explore Biopython's tools for biological computation. This workshop introduces sequence analysis, parsing biological file formats, and manipulating genomic data, perfect for bioinformatics beginners.