OntarioLearn description: Students learn concepts and techniques for data mining. Methods for the application of various probability distribution techniques are used to evaluate the probability of real world events. Students learn about logistic and multiple regression and how that is used in making predictions. Pattern evaluation methods are explored for marketing data.
You will have the most success in this course if you already have a post-secondary education in a field related to computer science or mathematics or you already have a basic understanding of programming concepts and linear algebra before you start this course.