The Center for Advanced Computing (CAC) is excited to announce the Fall 2024 Scientific Computing Training Series, starting October 2. The series will feature five webinars, held on Wednesdays from 9-10 a.m. ET, with an optional 30-minute discussion period immediately following each session.

“Since the launch of this One Cornell program, we have provided training to students, faculty, and staff across all Cornell campuses,” said Curtis Cole, vice president and chief global information officer and founder of the training series. “Our goal is to increase access to research services that support scientific collaboration.”

“CAC has delivered 31 webinars to 2,203 participants since the series began in Fall 2022,” said Susan Mehringer, associate director for consulting. “The webinars have been well-received at Cornell Ithaca, Weill Cornell Medicine, and beyond, with attendees commending the high quality of instruction.”

Webinar Schedule:

• Oct. 2: Introduction to Python
  Chris Myers will provide an overview of Python, covering its programming language, software ecosystem, and essential concepts. This session is ideal for beginners as well as more experienced Python users seeking a new perspective.
   
• Oct. 9: Introduction to JupyterLab for Python/R
  Christopher Cameron will showcase Jupyter Notebooks, highlighting their use in scientific communication through a blend of text, code, statistical analysis, and visualizations. This session is geared towards those who work with or are interested in Jupyter Notebooks.
   
• Oct. 23: Python for Computational Science, Data Science, and Machine Learning
  Chris Myers will explore key components of the Python software stack used for numerical computing, scientific algorithms, data processing, visualization, and machine learning.
   
• Oct. 30: Getting Started with R
  Zilu Wang will introduce new users to the RStudio interface, its features, and best practices, including the use of Quarto for documenting and sharing data analysis and research.
   
• Nov. 6: Data Analysis with R 
  Christopher Cameron will present examples of data analysis and visualization in R, helping researchers assess whether learning R is beneficial for their work. Attendees are encouraged to submit their own examples for potential inclusion.

To register for individual webinars or for the entire series, please visit https://its.weill.cornell.edu/scientific-computing-training-series.

Cornell’s Scientific Computing Training Series is sponsored by the Center for Advanced Computing, Weill Cornell Medicine’s Scientific Computing Unit, ITS, and the Clinical and Translational Science Center.