Exploratory Data Analysis in Python

Wednesday, February 26, 2025 10:00to12:00

Overview: In thisworkshop, we will delve into the art of conducting Exploratory Data Analysis (EDA) on a given dataset./cdsiCategory: Data Science

Data visualization in Python, introduction

Wednesday, February 19, 2025 10:00to12:00

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

Data wrangling in Python

Wednesday, February 12, 2025 10:00to12:00

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

Introduction to the data science life cycle (in Python)

Wednesday, February 5, 2025 10:00to12:00

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

Version control with Git in R

Tuesday, April 8, 2025 10:00to12:00

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....

Introduction to Quarto (R Markdown)

Tuesday, April 1, 2025 10:00to12:00

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...

Working with text in R

Tuesday, March 25, 2025 10:00to12:00

Overview: R is mostly known for its statistical methods on numbers. However, it is also capable of working efficiently with text and analysing it./cdsiCategory: Data Science

Introduction to Git using R

Tuesday, March 18, 2025 10:00to12:00

Overview: This workshop will give an introduction of how to work with Git in R. At the end of the workshop, you will:...

Acquiring data from the internet in R

Tuesday, March 11, 2025 10:00to12:00

Overview: The internet is full of data that you can use for your analysis. As part of our data life cycle series, we will introduce you to efficiently retrieve data from the internet./cdsiCategory:...

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