Overview: The goal of this workshop is to serve as an introduction to Bayesian models and tools for analyzing missing or partially observed data./cdsiCategory: Data Science
Overview: This workshop will explain the ‘why, when and how’ of statistical simulation studies. Such studies are useful to aid the study of statistical procedures, and to test their performance on...
Overview: In this workshop, students will learn:
- The different types of plots depending on the characteristic of their data/variables
- How to plot by group/cdsiCategory: Data Science
Overview: Data wrangling is a crucial step in the preparation of data before performing analyses. This workshop is designed to teach how to manipulate data in Python./cdsiCategory: Data Science
Overview: This workshop presents an overview of the data science life cycle using the programming language Python, and using the environment Jupyter Notebooks./cdsiCategory: Data Science
Overview: This workshop will enhance your knowledge of how to work with Git in R. Emphasis is put on collaboration with Git and comparing file versions....
Overview: As part of the data science life cycle series, this workshop will introduce you to the intuitive Quarto language in RStudio, and show you how to weave together your R code, output and...