Looking to elevate your organization, and bring it to the next level? Bring on students from York University to be your student-consultants, in a project-based experience. Students will work on one main project over the course of the semester, connecting with you as needed with virtual communication tools. Students in this course will work in groups to complete a full data analysis from start to finish. They will be assigned a dataset from a given company and research questions. Students will also complete exploratory data analysis, propose and execute a modelling strategy to draw insights from the given data.

The Live Client Learning (LCL) Marketing course is a 13-week long experiential learning program from YorkU offered once a year, that is an opportunity for companies to share their marketing challenge with top marketing students. Students who apply into the program are screened and interviewed for their skill, will and interest to withstand the rigor of this program. Ten top students (divided into 2 competing teams) dive into the marketing challenge and present a go-to-market strategy to the companies' business/marketing leaders, who judge their presentations. Due to time limitations and criteria of the program, a maximum of only 5 companies can participate in this program. Key marketing leaders of each company are invited to engage at least twice with students: 1st to brief the teams and then to judge their presentations. The students are engaged to work on a live marketing challenge and companies walk away with a go-to-market strategy and creative marketing solutions.

Students analyze marketing problems and develop marketing solutions to real-world situations. This course provides students with an opportunity to apply their marketing knowledge to a real client such as your own organization. Much of the focus of this course is on marketing planning and clients will receive a complete marketing plan (including situation analysis, segmentation, targeting, positioning, marketing strategy and implementation plan) from student groups.

In the final course of the Advanced Data Science and Predictive Analytics Certificate, students spend 8 weeks creating an analytics solution/model for your organization. This capstone project includes analysis of a real-life scenario, including business problem framing, translating to an analytical problem statement, data collection, preparation, integrating, modelling and analyzing and will result in a final report/ presentation that outlines recommendations and a solution deployment plan.