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University of Toronto Faculty of Information Sessional Lecturer Fall Term 2025 (September - December) INF2167H - R for Data Science Course Description: Data science is a fast-growing field and new
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 14 hours ago
periodically assist with set ups for special events and exams; p) cleans escalators and elevator interior and exterior; q) locks and unlocks doors as directed; and r) other related duties as required
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of types of data, descriptive statistics, probability distributions, hypothesis testing, correlation, linear regression and analysis of variance will be covered. The course will be using the R software
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work independently and autonomously Proficiency in programming languages such as SQL, Python or R and datavisualization tools Assets (Nonessential): Experience working with startups, technology companies
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 9 days ago
assist with set ups for special events and exams; p) cleans escalators and elevator interior and exterior; q) locks and unlocks doors as directed; and r) other related duties as required
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 6 days ago
(please submit your information on the MS form: https://forms.office.com/r/RR1V9KtD0Y and “print to PDF” to save a copy of the submission) Cover letter (this should specify the way in which the applicant’s
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gained through experience or advanced training. Working knowledge of analytics tools and technologies such as SAS, R, Python, MS SQL Server, as well as visualization technologies such as, PowerB and/or
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 24 days ago
ups for special events and exams; p) cleans escalators and elevator interior and exterior; q) locks and unlocks doors as directed; and r) other related duties as required. Qualifications: Minimum
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of textiles and fashion and the context surrounding the 3 R's, reduce, reuse and recycle. Estimated Course Enrolment: 12 students Estimated TA Support: None Class Schedule: Tuesdays 2:00pm - 4:00pm (In Person
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escalators and elevator interior and exterior q) Locks and unlocks doors as directed r) Other related duties as required. Minimum Requirements for Selection Education: Completion of tenth grade or equivalent