Software Carpentry helps researchers get their work done in less time and with less pain by teaching them basic research computing skills. These hands-on Python, R, Git, Github, and Bash Shell mini workshops will cover basic concepts and tools, including program design, version control, data management, and task automation. Read more “Free Software Carpentry Scientific Computing Mini Workshops 6/21-24”
This 2-day intensive virtual workshop is designed to provide a foundation of basic concepts that all programming depends on, using the general-purpose programming language, Python, as an example. There are no prerequisites and the workshop is designed for computer users from beginners to advanced. Read more “2-day Scientific Computing with Python Workshop 3/25-26”
Events
Software Carpentry helps researchers get their work done in less time and with less pain by teaching them basic research computing skills. These hands-on Python, R, Git, Github, and Bash Shell mini workshops will cover basic concepts and tools, including program design, version control, data management, and task automation. Read more “Free Software Carpentry Scientific Computing Mini Workshops 6/21-24”
Events
This 2-day intensive virtual workshop is designed to provide a foundation of basic concepts that all programming depends on, using the general-purpose programming language, Python, as an example. There are no prerequisites and the workshop is designed for computer users from beginners to advanced. Read more “2-Day Scientific Computing with Python Workshop 3/25-26”
This 2-day intensive virtual workshop is designed to provide a foundation of basic concepts that all programming depends on, using the general-purpose programming language, Python, as an example. There are no prerequisites and the workshop is designed for computer users from beginners to advanced. Read more “2-day Scientific Computing with Python Workshop 3/25-26”
Events
This 2-day intensive workshop is designed to provide foundational concepts that all programming depends on, using the R statistical computing platform as an example. There are no prerequisites and the workshop is designed for computer users from beginners to advanced.
Read more “2-Day Scientific Computing with R Workshop 3/4-5”
This 2-day intensive workshop is designed to provide foundational concepts that all programming depends on, using the R statistical computing platform as an example. There are no prerequisites and the workshop is designed for computer users from beginners to advanced.
Read more “2-day Scientific Computing with R Workshop 3/4-5”
This free 2-day intensive virtual workshop is designed to provide a foundation of basic concepts that all programming depends on, using the general-purpose programming language, Python, as an example. There are no prerequisites and the workshop is designed for computer users from beginners to advanced; it a comprehensive, hands-on introduction to data analysis using Python that will cover topics including data types, functions, conditional statements, loops, errors and exceptions and debugging. Basic data management, version control, and command line computing are also covered as an introduction to remote high performance computing.
This Session is Now Full
Instructors
Tim Norris, PhD, Research Data Scientist, UM Libraries
Cameron Riopelle, PhD, Head of Data Services, UM Libraries
A syllabus will be posted with preparations instructions.
Monday and Tuesday, November 9-10, 2020
9:00 AM – 4:30 PM Course Hours, Both Days (one hour break for lunch 12:00-1:00 PM)
News
This free 2-day intensive virtual workshop is designed to provide a foundation of basic concepts that all programming depends on, using the general-purpose programming language, Python, as an example. Read more “2-Day Python for Scientific Computing Workshop 11/9-10”
After careful consideration, the 2-day Software Carpentry-R Workshop at the Gables campus previously scheduled for April 1-2, 2020 has been CANCELLED due to statewide precautions for the COVID-19 Coronavirus, and the State of Florida’s public health emergency declaration.
The Institute for Data Science and Computing is committed to the health and welfare of our attendees, sponsors, and speakers, and the community as a whole, and have decided to err on the side of safety.
We thank you for your interest in our program and ask you to stay tuned to our website for future dates. All registration links have been disabled. If you have questions or concerns, please call 305-243-4962.
This workshop is designed to provide a foundation of basic concepts that all programming depends on, using R as an example. Trained instructors lead a comprehensive, hands-on overview of what is possible with R, using an example dataset. Go from reading data into R to data types, functions, conditional statements, loops, how to write in RMarkdown, as well as best practices for writing R code that others can understand and use.
Since the goal of this workshop is to bring you up to speed with data analysis, it would be incomplete without instruction on a shell as well as a version control system. The shell is important in building reproducible data analysis pipelines where your R scripts may be just one component, Git is an incredibly useful tool for version control, collaboration and management of your coding projects. This workshop will provide you with the basic computing skills and best practices needed to be productive in a small research team. The format is a mixture of short seminars and hands-on practical exercises, and participants are encouraged to help one another, and to try applying what they have learned to their own research problems during and between sessions.
This free 2-day workshop is capped at 35 participants, and is on a first-come/first-served basis.
Instructors: Tim Norris, PhD, Research Data Scientist | Cameron Riopelle, PhD, Data Services Librarian
NOTE: Please bring a laptop (any OS) and charging cable.
Wednesday and Thursday, April 1-2, 2020
9:00 AM – 4:30 PM Course Hours, Both Days
Richter Library, Learning Commons Flexible Program Space (1st Floor), Room #102-B, Gables Campus
