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YCBS 233 Level 4 - Special Topics in Business Valuation (6.5 CEUs)
Explore the issues that significantly impact Chartered Business Valuators in real-world practice.
YCBS 234 Litigation Support in Business Valuation (6.5 CEUs)
Acquire a comprehensive overview of litigation matters as they relate to the valuation of businesses.
YCBS 235 Private Company Finance (6.5 CEUs)
Explore the issues and techniques relevant to financing private companies.
YCBS 236 Introduction to Valuation For Financial Reporting (6 CEUs)
If you’re looking to build and expand on the concepts covered in Advanced Building Valuation, this course is for you. It was designed to help you stay on top of the ever-changing landscape of accounting and valuation for financial reporting.
YCBS 242 Applied Business Analysis (4.5 CEUs)
This hands-on course will focus on the building blocks of the Business Model Canvas, Business Motivation Models, and conducting rigorous feasibility studies and well-constructed business cases. Techniques for effectively introducing change will include Business Process Modeling Notation and a hybrid Use Case approach (Unified Modelling Language), from both a business and a systems perspective.


This course is aligned with the CCBA® (Certification of Capability in Business Analysis) & CBAP® (Certified Business Analysis Professional) competencies. More information: CCBA Competencies / CBAP Competencies

YCBS 243 Introduction to Business Analytics and Data Modelling (4 CEUs)
This course will explore the fundamental analytic methods and tools used to collect, analyze and interpret business data to gain insight into and inform business decision-making. Special emphasis is placed on data modeling tools and techniques used by business analysts to accurately define and communicate business requirements , and to determine relationships, business rules and data management methods for any project.
YCBS 244 Current Trends in Parliamentary Administration (3 CEUs)
This course provides an overview of democratic principles, core functions of parliament, parliamentary procedures and practices, as well as current trends and issues in parliamentary administration. Each participant will be assigned a mentor, who will be available for consultation and guidance throughout the entire program.
YCBS 245 Corporate Management of Parliament (3 CEUs)
This course focuses on general concepts of good corporate governance and their applicability to parliament, and the role of key stakeholders. Emphasis is placed on the management of human and financial resources in a parliamentary setting and the importance of strong interrelationships.
YCBS 246 Corporate Management of Parliament II (3 CEUs)
This course is a continuation of Corporate Management of Parliament I.
YCBS 247 Parliamentary Committees (3 CEUs)
This course focuses on the role that parliamentary committees play in the work of the parliament and considers the procedural, administrative, research and analytical support required for committees to function successfully. This course will also examine the important role that committees play in terms of accountability and engagement.
YCBS 248 Public Financial Management (3 CEUs)
This course looks at the system of rules, processes, procedures and regulations through which decisions on financial resources are made and implemented.The course aims to provide a basis for better understanding of core concepts, objectives, and issues in public financial management (PFM) as they relate to the functions of the legislature. Particular focus is placed on how PFM impacts three levels of budgetary outcomes: aggregate fiscal discipline, allocative efficiency and operational performance.
YCBS 249 Parliamentary Research (3 CEUs)
Introduction to research and policy analysis in a legislative environment, differences between legislative and academic research, types of policy analysis, role of parliamentary staff in the formulation of policy and legislative proposals, the analytic process, effective use of information in parliaments and presentation for legislative audiences, value of objective information, value and uses of partisan information, and writing for legislators.
YCBS 250 Introduction to Parliamentary Governance (3 CEUs)
Comparative overview of parliamentary systems; role of parliaments in modern societies; factors that influence how parliaments carry out their functions; the role of the Speaker and other presiding officers; women in parliament; introduction to parliamentary procedure; global and regional parliamentary networks; international parliamentary co-operation and diplomacy. 3 CEUs.
YCBS 251 Contemporary Issues in Parliamentary Governance (4 CEUs)
This course addresses core functions of Parliament, including the legislative process and interactions with civil society; legislative- executive-judiciary relations; parliamentary values - codes of conduct; the role and responsibilities of: the opposition, the backbencher, committees and parliamentary staff; the corporate management of parliament; and parliamentary procedure & aspects of debate.
YCBS 252 Advanced Parliamentary Governance (3 CEUs)
Overview of different parliamentary models around the world (parliamentary, parliamentary-presidential, and presidential) and executive-legislative relations. Introduction to parliamentary benchmarks. Exploration of Commonwealth Parliamentary Association (CPA), Inter-Parliamentary Union (IPU) and other benchmarks and regional variations thereof. Assessing parliaments to identify practical steps that could be taken to improve their efficiency and effectiveness.
YCBS 253 Parliamentary Communications (3 CEUs)
This course will examine the relationship between parliament and the media. In addition to providing the legal framework to allow for access to information and freedom of the press, the course will contain practical examples of how to make parliaments newsworthy. Using guidelines and other materials from the course, participants will be preparing a speech / interview/briefing on the subject of their choice.
YCBS 255 Statistical Machine Learning (8 CEUs)
Fundamental statistical machine learning concepts and tools using Python. Emphasis on descriptive statistics, statistical distributions, random number generation, basic data visualization; linear regression; basic classification; error estimation: cross-validation, bias-variance trade-off; shrinkage methods; dimension reduction; beyond linearity: smoothing splines, local regression, additive models; tree and ensemble methods; powerful classifiers; unsupervised learning.



(30 INFORMS PDUs)

The PDUs earned through this non-credit-bearing course can be used by CAP and aCAP certificants to satisfy the 30 PDUs needed to renew their certification every three (3) years. More info.
YCBS 256 Data Science for Business Decisions (8 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.


This course is aligned with the IIBA’s Certification in Business Data Analytics (IIBA®-CBDA) competencies. More information.




(30 INFORMS PDUs)

The PDUs earned through this non-credit-bearing course can be used by CAP and aCAP certificants to satisfy the 30 PDUs needed to renew their certification every three (3) years. More info.
YCBS 257 Data at Scale (9 CEUs)
Overview of various aspects of large data sets and how they are managed both on site and in the Cloud. Emphasis on hands-on experience from data ingestion to analysis of large data sets, both data-at-rest and data-in-motion (streaming data), including defining Big Data and its 5 V's: Volume, Velocity, Variety, Veracity, and Value.
YCBS 258 Practical Machine Learning (9 CEUs)
This course aims to introduce participants to essential machine learning methods and techniques through an end-to-end machine learning project. Emphasis is placed on practical experience with machine learning using Python programming language, scikit-learn and TensorFlow, as well as on understanding classification and training models. The course will provide an introduction to artificial Neural Networks, deep learning, convolutional and recurrent neural nets and reinforcement learning.

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