ZLAS aims to be the national hub for analytics-training to bridge the gap between the data analytics skills demanded by companies and those that are offered by undergraduate students and professionals.
Currently, analytics training is only offered at the graduate level through Masters or post-graduate diploma programs. Through analytics training, we will give Ryerson’s undergraduates a competitive advantage over others in the workforce.
The Zone Learning Analytics School develops curriculum and provides access to training and industry software.
Basic workshops and resources are provided for languages such as Python and R.
Students are trained in SAS, IBM and Microsoft software for data analysis.
Tutorials on working with flat files and database queries are provided.
Problems provided for practice are based upon real life business situations.
Students learn the essentials of predictive analytics and forecasting.
After analysis is done, students are taught how to story tell and visualize data.
Business Analytics with Tableau
Geospatial Analysis using Polaris
Social Media Analysis with Netlytics
Bitcoin with Amaris
ZLAS and SAS are back at it again this semester with Workshop 2, which will introduce programming with SAS as well as some team building exercises to better know your teammates! Register here!
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