Zone Learning Analytics School (ZLAS) will bring in the top analytics-software providers and industry practitioners to give complimentary data analytics training to undergraduate students, professionals, and increase collaboration between engineers, mathematicians, and businesspeople.
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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.
DATA-DRIVEN UNDERGRADUATES
The Zone Learning Analytics School develops curriculum and provides access to training and industry software.
Statistical Programming
Basic workshops and resources are provided for languages such as Python and R.
Analytics Software
Students are trained in SAS, IBM and Microsoft software for data analysis.
Database Analysis
Tutorials on working with flat files and database queries are provided.
Business Analysis
Problems provided for practice are based upon real life business situations.
Predictive Analytics
Students learn the essentials of predictive analytics and forecasting.
Data Visualization
After analysis is done, students are taught how to story tell and visualize data.
Panel
ZLAS Professional Speaker Panel
Module 1
Deloitte
Case Competition
Environics
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Hackathon
Under Construction
ZLAS is partnering with the Ryerson Business Career Hub (BCH) to host a series of Python, R and Tableau tutorials!
Join the ZLAS team as we welcome a panel of industry professionals to discuss the current events & trends in the world of Big Data! Sign up through eventbrite here.
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