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: Course number and title: MIE237H1 - Statistics Course description: Data gathering motivation and methods (observational vs. experimental). Modeling for inference vs. prediction. Data visualizations. Two
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
If you have any issues applying, please contact Kelly Squier [email protected] ----------------------- Course Code and Title: STAB23H3 Introduction to Statistics for the Social Sciences
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
If you have any issues applying, please contact Kelly Squier [email protected] ----------------------- Course Code and Title: STAB22H3 Statistics I Course Description: This course is a basic
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of Statistical Sciences Campus: St. George (Downtown Toronto) Description: The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a full
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Assistant Professor, Teaching Stream - Contractually Limited Term Appointment - Statistical Sciences
Department: Department of Statistical Sciences Campus: St. George (Downtown Toronto) Description: The Department of Statistical Sciences in the Faculty of Arts and Scienceat the University of Toronto invites
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fund or comparable services. Maintains and updates the web presence for the Scholarly Communications and Copyright Office. Maintains Statistics and Records: Compiles monthly statistics Prepares summaries
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objectives. Analyzing complex statistical reports and/or financial information for management decision-making (using Business Intelligence/Analytics Tools such as Tableau, Power BI, Cognos Cubes). Designing
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Date Posted: 05/16/2024 Req ID: 37346 Faculty/Division: Faculty of Arts & Science Department: Department of Statistical Sciences Campus: St. George (Downtown Toronto) Description: About us: The
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Maintain and evaluate assigned collections Run reports and provide recommendations based on data and statistic analysis Work with various departments and the community to build and mobilize relevant
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to inform decision-making and maximize the impacts of institutional financial support on student success. Essential Qualifications: EDUCATION: Master’s degree with statistical and quantitative training