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Statistics for Data Analysis Project
DAT 101
The course is part of the Data Analytics certificate program. Students in the program are adult learners with a post-secondary degree/diploma in computer science, engineering, business, etc. This course introduces descriptive statistics, basic inferential statistics, linear regression, and probability concepts and calculations. Practical application activities in the course focus on how statistical methods are used in the analysis of data. Common statistical and programming tools will be introduced and employed in order to demonstrate how significant and insightful information is collected, used, and applied to problem-solving processes.
Statistical Analysis for Data Science - F24
DAT 200
This course is part of the Data Analytics certificate program. Students in the programare adult learners with a post-secondary degree/diploma in computer science,engineering, business, etc.This course provides a foundation of exploring data through computing and statisticalanalysis. Focus is placed on the structure and applications of probability, statistics,computer simulation, and data analysis for students exploring the field of data science.This course builds upon introductory statistics courses and is designed for students withexperience/study in programming, calculus, and algebra. Programming in R will be usedthroughout the course.
Data Analytics and Modelling - F24
DAT 201
This course is part of the Data Analytics certificate program. Students in the program are adult learners with a post-secondary degree/diploma in computer science, engineering, business, etc.This course offers an introduction to data science and machine learning paving the way for students to learn data analytics principles. In particular, this course begins with a brief history of data analytics and data science, followed by regression analysis, regression and classification trees, and ends with introductions to K-means clustering, principal component analysis (PCA). Each lecture has associated with it a practical lab session in which students will put "theory into practice" offering students a hands-on approach to learning the material.
Artificial Intelligence for Business
DAT 105
This course is part of the Data Analytics certificate program. Students in the programare adult learners with a post-secondary degree/diploma in computer science,engineering, business, etc.This course presents the principles of artificial intelligence (AI) through an exploration ofits history, capabilities, technologies, framework, and its future. AI applications invarious industries will be reviewed through some case examples. Current trends in AIwill be discussed and students will be encouraged to consider the potentials of AI tosolve complex problems. This course will help students to understand the implicationsof AI for business strategy, as well as the economic and societal issues it raises