Rotman Machine Learning in Business | Online Certificate Course

Bridge the Gap Between Business and Data Science Teams

Machine Learning, a sub-domain of Artificial Intelligence, employs techniques used for analyzing large data sets and making predictions. These techniques are being adopted by organizations across all industries and all functional areas to achieve better outcomes – whether in healthcare for better patient outcomes or in financial services to stave off bad risk.

In order to reach optimal performance, you need to adopt the mindset and language of data scientists. In Machine Learning in Business, Rotman delivers just that — the bridge for business professionals to communicate effectively with analysts and data scientists to drive better business outcomes.

#1 in Canada for Open Enrolment

Source: The Financial Times 2020

What You'll Get

Training on how to communicate fluently on the topics of machine learning applications, processes, and strategies with data science teams, either internal or external.
Expert guidance on how to describe common algorithms and appropriate business applications for each.
Techniques to identify ways in which machine learning can support business leadership to improve understanding of customers and use data to make predictions.
A deep understanding of the approaches used by data science teams to work with them and achieve better outcomes.

Program Curriculum

New content is released each week, such that the cohort moves in unison through the program with group discussions enriching the learning experience. Because the lectures are recorded, there is flexibility for you to learn on your schedule. Live program support is available throughout the entire learning journey.

Module 1:

Overview of Machine Learning and its Methodologies

Module 2:

Unsupervised Learning

Module 3:

Regression Analysis and Its Extensions

Module 4:

Decision Trees

Module 5:

Support Vector Machines (SVMs)

Module 6:

Neural Networks

Module 7:

Reinforcement Learning

Module 8:

Natural Language Processing (NLP)

Download Brochure

Program Experience

Program Faculty

John Hull

Professor of Finance, Maple Financial Group Chair in Derivatives and Risk Management, Academic Director, Rotman Financial Innovation Hub

John Hull is the Maple Financial Professor of Derivatives and Risk Management and Academic Director, Rotman Financial Innovation Hub at Rotman. His research has an applied focus and is concerned with risk management, bank regulation, valuation of derivatives, and machine learning. He is best known for his books Risk Management and Financial Institutions (now in its 5th. edition), Options, Futures, and Other Derivatives (now in its 10th edition), and Fundamentals of Futures and Options Markets (now in its 9th edition). His books have been translated into many languages and are widely used in trading rooms throughout the world, as well as in the classroom. John is also co-director of the Rotman's Master of Financial Risk Management & Master of Finance Programs.

Dr. Hull holds a Ph.D. in Finance from Cranfield University; an M.A. in Operational Research from Lancaster University; an M.A. and B.A. in Mathematics from University of Cambridge.

Certificate

Upon successful completion of the program, you’ll earn a digital certificate of completion from the Rotman School of Management. This program counts toward a Rotman Excellence in Executive Leadership Certificate.

Download Brochure

Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of the Rotman School of Management.

Machine Learning in Business

Get Your Brochure

STARTS ON