Le Certificat d’études supérieures en analyse de données pour les systèmes complexes (15 crédits) permet aux étudiant(e)s – avec ou sans formation technique préalable – d’acquérir des notions de base sur des systèmes complexes. Le programme encourage les étudiant(e)s à appliquer des techniques d’analyse de données pour mieux comprendre des phénomènes propres à des domaines comme la technologie financière, la gestion de l’organisation ou le marketing numérique. le programme est offert enligne.
Required Courses (9 credits)
Course List
Course
Title
Credits
CCCS 610
Digital Thinking for Data Analysis.
3
Digital Thinking for Data Analysis.
Terms offered: this course is not currently offered.
Examination of programmable tools for data analysis. Application methods to implement fundamental algorithms making use of data structures.
Analysis of fundamental concepts and techniques for data analysis and modelling;
basic mathematical and computational concepts needed for data analysis. Application of programmable tools to real-world examples.
Terms offered: this course is not currently offered.
Tools and techniques for modelling and simulating diverse complex systems; network analysis with applications in social, biological, and infrastructure networks; and chaotic systems.
Examination of the application of computational and mathematical concepts, tools, and techniques to visualize quantitative multi-dimensional information. Qualitative information in static, animated, and interactive digital formats. Guidelines and best practices from cognitive psychology, UX, and graphic design, including dashboard tools and storytelling methods.
Terms offered: this course is not currently offered.
Concepts, tools, and metrics related to scaling up data analysis to handle massive amounts of data. Examination of methods for enabling technologies and applications such as big data and cloud computing.
Terms offered: this course is not currently offered.
Analysis of a real-world case study of choice. Examination of version-controlled repositories and project management tools for tracking the tasks. Identification,
formulation, and application of data-driven projects in areas of interest.
