EES1137 Lecture 17
In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course […]
10 events found.
Scientific Computing Lecture (2023)
This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software […]
Learn Basic Text Analysis with Constellate
Text analysis is a quickly growing field focused on analyzing texts (potentially thousands or millions of texts) using code. This workshop will introduce you to Constellate, a text analysis tool […]
Visualizing Relationships: A Friendly Introduction to Working with Networks using Gephi
A network is a way of specifying relationships among a collection of entities or actors. Networks come up in a variety of situations; for example, they can describe relationships between […]
BCH2202 – Lecture 6
SciNet Teaching RoomIn this course students will be instructed in how to program in R. Ultimately students will learn how to use R to analyze, process and visualize data. This course is […]
Intro to SciNet, Niagara and Mist
SciNet Teaching RoomIn about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up […]
Excel: Beyond the Basics
In-Person Location: Robarts Library, 5th Floor, Room 5-053 (directly across from the elevator). Map & Data Library Computer Lab Excel is a popular spreadsheet software that allows you to organize, […]
Getting Started with Intermediate R (In-Person)
Do you want to develop your R skills to advance your data science skills? R is a popular open-source statistical programming language that is popular in academia and industry. This […]
Scientific Computing (2023)
This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software […]
EES1137 Lecture 18
In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course […]
