Associate Professor Yoni Nazarathy from the University of Queensland Australia, specializes in data science, probability and statistics. His specific research interests include scheduling, control, queueing theory, and machine learning. He has been at The University of Queensland for nearly a decade, teaching courses in the Masters of Data Science program and working on research. Prior to his previous academic positions in Melbourne and the Netherlands, he worked in the aerospace industry in Israel. In recent years, he has also been heavily involved with primary and secondary mathematics education and is the co-founder of an EdTech mathematics organization called One on Epsilon. He is also the co-author of a data science book, "Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence". Recently his research has also focused on epidemics and he leads the Safe Blues program dealing with finding efficient and ethical methods to track social mobility with a goal of prediction and control of epidemics.
This workshop provides an introduction to the Julia language for data-scientists and statisticians. No prior experience with Julia is assumed. The workshop starts with a few Julia basics and then progresses through basic probability and statistics examples, usage of dataframes, elementary statistical inference, regression, and more advanced methods. At the end of this workshop, attendees will have solid entry point for using Julia as their preferred data analysis tool.