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Professional Development Certificate in Data Analytics for Business

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Required Courses
YCBS 260 Statistics for Business Decision Making (4 CEUs)
This course provides an overview of fundamental statistical and mathematical concepts needed to perform statistical data analysis to support business decisionmaking and projections such as probability, random variables, descriptive statistics, regression modelling, common probability distributions, experimental design.
YCBS 261 Data Analytics Fundamentals (4 CEUs)
Introduction to fundamental analytical methods, tools and techniques used to collect, analyze, interpret and predict business outcomes based on data. Overview of NoSQL databases, RDBMS databases and data structures. Complete data processing cycle and predictive analytics using machine learning with Alteryx, Excel, SQL and Tableau to analyze data, create forecasts and models, design visualizations, and communicate insights.
YCBS 256 Data Science for Business Decisions (4 CEUs)
Overview of how data science can help drive business decisions and create new business models. Emphasis on data strategy, the data science lifecycle and process, business and analytics problem framing, overcoming challenges of implementing a data-driven business, including ethics, data governance, and privacy. Application of data science across various industries and business areas. Data science tools, including Alteryx and Tableau for data preparation, analysis, and visualization
YCBS 262 Leading Data Science Projects & Teams (4 CEUs)
Overview of organizational capabilities and structures required to successfully create a data-driven business culture, including analytics maturity models, an integrated approach to defining and staffing data science projects, roles and responsibilities within a data project, development of data products and services, AI Canvas, collaboration and innovation tools and techniques including Design Thinking. Challenges and best practices in data governance and compliance. Data Science tools and techniques including Alteryx, Tableau, GitHub, and Google Cloud Platform.
YCBS 299 Data Science Capstone Project (6 CEUs)
Integration and application of knowledge and skills gained during the program through hands-on projects supported by our industry partners to build a full data science pipeline from preparing, analyzing and visualizing data to building and testing models. Communication and presentation of insights and recommendations derived from data analysis using visualization and storytelling techniques.

Latest Articles

McGill SCS Announces Scale AI Funding for Professional Development Programs in Data Science, Machine Learning and Artificial Intelligence

" To meet the growing demand for skilled data science and AI professionals, training in these fields just became more accessible. "


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Student Review
"The McGill Professional Development Certificate in Data Analytics for Business program has been an enormous boon to my career. It has given me the skills, perspective and network that I needed to achieve success in our new data-driven economy. I am happy that I did it and recommend it to anyone interested in learning more about data science, analytics and/machine learning."
Jonathan Guzzo
Associate Director, Corporate Treasury Risk Management at National Bank of Canada


Career and Professional Development
Phone: +1 514-398-5454
688 Sherbrooke Street West, Suite 1029 Montreal, Quebec, Canada H3A 3R1
Hours of Operation

Monday to Friday
9:00 a.m. to 5:00 p.m.

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