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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 | about 15 hours ago
development), quantitative background (statistics, data analysis), organizational skills, and communicative abilities is highly valued Excellent verbal, written and interpersonal skills Strong organizational
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level statistics, and R programming. The course involves lectures on (1) basic experimental design, sampling biases, and the basic concepts underlying statistical procedures. (2) Lectures on basic metrics
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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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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
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 days ago
statistics Ability to work in person on the UTM campus Flexible availability is a requirement Preferred Qualifications: Familiarity with course content of MAT102H, MAT133Y, MAT132/4H, MAT135/6H, MAT223H, and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 14 hours ago
rate for science co-op students, recommending initiatives to support success and retention of computer science, mathematics and statistics co-op students in the Arts & Science Co-op program. This role is
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Qualifications: Master's Degree in a related quantitative field, preferably in computer science, mathematics, statistics, physics, engineering, or theoretical chemistry. Six to seven years of recent and related
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and initiatives and produce detailed statistical analyses of funding competition results. Your responsibilities will include: Researching and recommending new opportunities for external collaborations