Looking to elevate your organization, and bring it to the next level? Bring on MBA learners from the Haskayne School of Business at the University of Calgary to be your learner-consultants, in a project-based consulting style experience. Learners will work on one main project over the course of the semester, to provide a recommendation on a strategic business challenge. Students in this course demonstrate the value of applying theory and concepts learned during their MBA studies to the completion of a strategic project for an organization.

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Students will be able to take organizational datasets and form business problems around the data and the business. They can then use statistical and data analytics techniques to explore and model the data to provide insights and solutions to the business problems. The analysis of the data includes data cleaning, exploratory analysis and visualization, and various classification and regression models (Bayes, KNN, Tree-based methods, logistic regression, clustering, SVM, text analytics, ML, and AI). These analyses are mainly done through R programming.A project appropriate for this course ideally includes an introduction to the business and its value chain, and more importantly, a relatively clean dataset (a table is preferred over a database) which usually includes an outcome variable of interest (inputs used to predict an output, e.g. prediction of users' type or demand). Projects without data are not acceptable.