Upcoming Events

SaLLy Training - Short Course
TBD
Introduction to R Programming: A Beginner's Guide to Data Science and Statistical Computing. To be determined.

    SaLLy's introductory course on R programming is a beginner-level course that teaches the basics of R programming language, which is widely used in data science and statistical computing. The course covers essential concepts such as data types, variables, functions, loops, and conditional statements. It also provides an introduction to data manipulation and visualization using R packages such as ggplot2 and dplyr. The goal of the course is to provide students with a solid foundation in R programming, enabling them to write their own R scripts, work with data, and produce basic visualizations.

SaLLy Training - Short Course
TBD
Introduction to Python Programming: A Beginner's Guide to Data Science, Machine Learning, and Artificial Intelligence. To be determined.

    SaLLy's introductory course on Python programming is a beginner-level course that teaches the basics of Python, a widely used programming language in data science, machine learning, and artificial intelligence. The course covers essential concepts such as data types, variables, functions, loops, and conditional statements. It also provides an introduction to data manipulation and visualization using Python libraries such as NumPy, Pandas, and Matplotlib. The goal of the course is to provide students with a solid foundation in Python programming, enabling them to write their own Python scripts, work with data, and produce basic visualizations.

SaLLy Research - Event
TBD
Discovering the Power of Statistical Learning: SaLLy Day. To be determined.

    SaLLy Day is an annual event aimed at showcasing the Statistical Learning Laboratory (SaLLy) and its main activities, research areas, and projects. The event provides an opportunity for students, researchers, and industry professionals to learn more about the cutting-edge research and innovative projects being conducted at SaLLy, and to network with members of the laboratory.