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Data Science Using R, a Short Introduction | Virtual

May 5 @ 6:00 pm - 9:00 pm

Acadia Institute for Data Analytics presents– In this workshop we will address several key steps of most Data Science projects, illustrating them using the R programming language and environment. Specifically, we will describe several tools available in R for Reporting, Data Munging and Manipulation, Data Visualization, and Predictive Analytics. The workshop will provide you with a short practical overview of some of the main tools available in R for these activities as well as illustrative examples using R code.

This workshop is for persons working with data who have a programming background and are comfortable with typical data types/formats and basic statistical concepts.

About the presenter:

Luis Torgo is a Canadian Research Chair (Tier 1) on Spatiotemporal Ocean Data Analytics and a Professor in the Faculty of Computer Science at Dalhousie University. Luis also holds appointments as an Associate Professor of the Department of Computer Science of the Faculty of Sciences of the University of Porto, Portugal, and as an invited professor of the Stern Business School of the New York University where I have been teaching in recent years at the Master of Science in Business Analytics.

Luis’ research revolves around the general area of Data Science, with a strong focus on Predictive Analytics for data with spatial, temporal, or spatiotemporal dependencies. Recently, Luis has been focusing on modeling rare events, with applications to fraud detection, prediction of extreme values, and monitoring activities for anticipating anomalous behaviour.

Details

Date:
May 5
Time:
6:00 pm - 9:00 pm
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