Workshops on Statistical Software
ITMAT Education provides statistical software workshops to the ITMAT Education learning community which includes students, alumni, and ITMAT members.
Dr. Andrew Cucchiara, PhD, leads Stata workshops for students to learn basic Stata programming and actively apply the software to existing data sets. The workshops present the content:
- In short video tutorials presenting core concepts and processes
- With hands-on learning opportunities through existing data sets
- In an online environment where learners engage in small groups
Dr. Benjamin Voight, PhD, leads bioinformatics software workshops to the ITMAT Education learning community which includes students, alumni, and ITMAT members. These workshops include:
- Python programming: bioinformatics analyses often require that students execute programs on the UNIX command line. If the data are large enough, this may require use of cluster computing to perform the task and manage the analysis. Moreover, there are specific tools available in the Python working environment that are extremely useful, e.g., scikit-learn for machine learning.
- R data science visualization: visualization of data and creating 'display items of merit' that are publication quality. Providing this workshop during the data exploration and analysis phase will be especially valuable. Having a code base for visualizations on processed data sets will help us meet reproducibility standards and save time. We will develop a workshop which introduces participants to ggplot2 / tidyverse, both very relevant R packages for data science and visualization. We also plan to deploy content into a library of online learning modules, which students could have ongoing access to and could self-teach.
- Technical reproducibility in R: with the assumption that analysis embedded in computer code should be technically reproducible, this workshop plans to introduce trainees to a range of tools and websites that provide this technical capability (github, Jupyter notebooks, R markdown, shiny apps, etc) and demonstrate how they can be used.
The workshops will present the content in short video tutorials presenting core concepts and processes, with hands-on learning opportunity through existing data sets, in an online learning environment where learners engage in small groups.
Learners will have the option to enroll in MTR 535 Intro to Bioinformatics in Spring 2021.