MATH 4801: Mathematics for Data Analytics
| Course Format | Lecture 0.0 h + Seminar 2.0 h + Lab. 0.0 h |
| Credits | 1.0 |
Course Description
Intended for students who require additional practice in pre-calculus algebra and linear algebra to succeed in data analytics programs. Topics include linear equations, systems of equations, matrix operations, quadratic forms, power functions, square root functions, exponential functions, logarithmic function, and reciprocal functions. Students with a passing score on the Data Analytics Mathematics Assessment (DAMA) Test are not required to complete this course. Graded S/U.
Registration in this course is restricted to students admitted to the Post-Degree Diploma in Data Analytics and Post-Degree Certificate in Data Analytics.
Prerequisite(s): A minimum score of 1 on the Data Analytics Mathematics Assessment (DAMA).
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