Certificat de perfectionnement professionnel en analyse de données en affaires

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Cursus

Cours obligatoires
YCBS 260 Statistics for Business Decision Making (4 CEUs)
In-class, Part-time
Automne 2018, Hiver 2019
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)
In-class, Part-time
Automne 2018, Hiver 2019
The objective of this course is to introduce fundamental analytical methods and tools used to collect, analyze and interpret business data. An overview of NoSQL databases, RDBMS databases and data structures is provided. Participants will be exposed to a complete data cycle using powerful tools such as 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)
In-class, Part-time
Automne 2018, Hiver 2019
This course aims to provide an overview of how data science can help drive business decisions and create new business models. The emphasis is placed on data strategy and how to move from data to insight. The course explores the data science process and how companies could surmount the different challenges they face when implementing a data driven business including ethics, data governance and privacy. The evolution of data technology and storage, as well as application of data science tools and techniques to different business areas such as customer and web analytics, operations analytics, human resources related analytics are explored through examples from various fields such as retail, healthcare and marketing.
YCBS 262 Leading Data Science Projects & Teams (4 CEUs)
In-class, Part-time
Automne 2018, Hiver 2019
This course focuses on the capabilities needed by organizations to successfully create a data driven culture and to properly lead data related projects all the way from idea to delivery. Topics covered include different roles and responsibilities within a data project, how to recruit, evaluate, and develop a team with diverse and complementary skill sets, define the goals of each stage of the data science pipeline. Challenges of data governance will also be addressed along with best practices in governance and compliance.
YCBS 299 Data Science Capstone Project (6 CEUs)
Part-time
Hiver 2019, Printemps/Été 2019
This capstone course supported by our industry partners will provide the opportunity to apply all the knowledge gained during the program in order to build a full data science pipeline from preparing and visualizing data, building and testing models, analyzing results and deriving business insights from their analysis. The focus is placed on communicating the insights gleaned from the data analysis through visualizations and on presenting the recommendations reached.
Commentaires d'un étudiant
"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."
Associate Director, Corporate Treasury Risk Management
National Bank of Canada