Certified Analytics Professional & Associate Certified Analytics Professional - Centre for Digital Banking

Overview
Business and Analytics Problem Framing
Statistical Data Analysis
Analytics Methodology
Certified Analytics Professional Preparation Course
FAQs

Overview
The Certified Analytics Professional (CAP®) was developed in the year 2013 and is the premier global professional certification for analytics practitioners. It was launched by the Institute for Operation Research and Management Sciences (INFORMS), the first to develop a professional certification programme in the field of analytics. Those who meet the CAP® high standards and pass the rigorous exam distinguish themselves, providing greater opportunities to enrich their careers. For organisations seeking to enhance their ability to transform complex data into valuable insights and actions, CAP® provides a trusted means to train and certify their talent in analytics, and identify those with the most potential to be practitioners.

Earning the CAP® credential requires meeting eligibility requirements for experience and education, effective mastering of soft skills, committing to the CAP® Code of Ethics and passing the CAP ® exam. Once the application to become a CAP® has been submitted and reviewed, the participant will be able to take the exam administered online at the appointed test centre.

CAP® examines the knowledge of a person across seven domains with preparation for both aCAP® and CAP® the same. The domains are:
Business Problem Framing
Analytical Problem Framing
Data
Methodology Approach
Model Building
Deployment
Life Cycle Management
The high-level programme content (project-based approach) covering the required body of knowledge is:
Business & Analytics Problem Framing
Statistical Data Analysis
Analytics Methodology
Preparation for CAP® exam

The Associate Certified Analytics Professional (aCAP®) designation connotes an entry-level analytics professional that may not have experience in practice yet and is at the beginning of a career pathway that leads to the elite CAP® designation. Fresh graduates are encouraged to apply for this. Meanwhile, CAP® is for those with minimum five years working experience in programming. The validation period for the CAP® designation is for three years and must be renewed after that.
The Multimedia University (MMU) is the INFORMS® recognised analytics education provider for the CAP® Programme. The Asian Banking School is pleased to be collaborating with MMU on this prestigious professional certification programme to provide a new legion of analytics practitioners to be among the ranks of talent in financial organisations heading towards digital transformation.
Business and Analytics Problem Framing
(Certified Analytics Professional – Domain 1 & 2)
Overview
This course consists of two major parts. In the first part called Business Problem Framing, participants will learn how to determine business problems, identify stakeholders, and determine if the problem has an analytic solution.

In the second part of the course called Analytics Problem Framing, participants will learn how to translate a business problem statement into an analytic problem and define key metrics of success.
Benefits
Participants will be able to:
Construct the problem statement and usability requirements
Identify stakeholders
Determine whether a problem is amendable to an analytic solution
Translate a business problem statement into an analytic problem formulation
Define key metrics of success
Duration
2 days
Prerequisite
Participants are expected to have knowledge of at least one product or service in their respective line of business
Domain One
Business Problem Framing
The topics covered under this section include:
Receive and refine the business problem
Identify stakeholders
Determine whether the problem is amenable to an analytics solution
Refine problem statement and delineate constraints
Define an initial set of business benefits
Obtain stakeholder agreement on the problem statement
Domain Two
Analytical Problem Framing
The topics covered under this section include:
Reformulating the business problem statement as an analytics problem
Develop a proposed set of drivers and relationship to outputs
Set of assumptions related to the problem
Define the key metrics of success
Obtain stakeholder agreement
Statistical Data Analysis
(Certified Analytics Professional – Domain 3)
Overview
This course teaches participants statistical techniques for data exploration and analysis. Participants will use appropriate tools to analyse different types of variables.
Benefits
Participants will be able to:
Interpret numerical and graphical summaries of univariate and multivariate data
Apply appropriate test of hypothesis and interpret results correctly
Identify associations between variables
Duration
2 days
Prerequisite
Participants are required to have basic knowledge of statistic
Domain Three
Data
The topics covered under this section include:
Identify and prioritise data needs and sources
Acquisition of data
Harmonise, rescale, clean and share data
Identify relationships in data
Documenting and reporting findings
Refining the business and analytics problem statements
Analytics Methodology
(Certified Analytics Professional – Domain 4-7)
Overview
This course will first teach participants to select appropriate data mining techniques given an analytic problem. It then walks the participants through the key steps of an analytic model lifecycle that includes building and deploying the solution.
Benefits
Participants will be able to:
Select suitable software tools and data mining techniques for a given problem
Implement the selected algorithms to build models, and then evaluate and calibrate the models
Create model, usability and system requirements for deployment
Track model quality and recalibrate the model
Duration
6 days
Prerequisite
Participants are required to have basic knowledge of statistics and programming
Domain Four
Methodology (Approach) Selection
The topics covered under this section include:
Identify tools for problem solving
Select software tools
Test methods
Select methods
Domain Five
Model Building
The topics covered under this section include:
Identify model structures
Run evaluate and calibrate models
Integrate models
Document findings
Domain Six
Analytical Problem Framing
The topics covered under this section include:
Business validation of model
Deliver report
Create model, usability and system requirement
Deliver and support production model / system
Domain Seven
Life Cycle Management
The topics covered under this section include:
Document initial structure
Track model quality
Recalibrate and maintain model
Support training
Evaluate model over time
Certified Analytics Professional Preparation Course
Overview
This course prepares the participants to take the CAP / aCAP exam. It elucidates the key components of the exam. Participants will attempt sample exam questions.
Benefits
Participants will be able to:
Select suitable software tools and data mining techniques for a given problem
Duration
1 day
Prerequisite
Participants must have completed all three pre-requisite
Exam Prep
The topics covered under this section include:
Exam format
Sample questions
Additional resources
FAQs
What are the prerequisites for the course?
INFORMS Associate Certified Analytics Professional (aCAP®) - for entry-level analytics professionals that may not have the practical work experience yet. Fresh graduates are encouraged to apply.

INFORMS Certified Analytics Professional (CAP®) - for those with minimum five years working experience in programming.

The validation period for the CAP® certification is three years and must be renewed after that.
How long does it take to complete the course?
Business & Analytics Problem Framing [2 days]
Statistical Data Analysis [2 days]
Analytics Methodology [6 days]
Preparation for CAP® exam [1 day]
Where will the course and exam be held?
The venue for the entire programme and the exam centre will be at MMU Cyberjaya. Of course, this could change in time so it is best to check with the Asian Banking School for latest updates.
What is the training methodology?
The programme consists of classroom lectures, active participation, laboratory assignments and business case studies.
Who should attend this course?
Project Managers, Manpower Planners, System and Network Engineers and Administrators, Database Administrators, IT Managers, Software Developers, Digital Campaign and Social Media Personnel, Brand and Engagement Personnel, Data Analysts, CRM Analysts, Customer Insights Personnel, Customer Analysts and those who make key decisions on organisational goals and strategies, as well as anyone interested in developing their skills in analytics.
What is CAP?
CAP was developed in 2013. It was launched by the Institute for Operation Research and Management Sciences (INFORMS), who were the first to develop a professional certification programme in the field of analytics. CAP is a professional certificate issued for individuals with business analytics experience and sets global standards for analytics professionals. It examines the knowledge of a person across seven domains. MMU is the INFORMS® recognised analytics education provider for CAP® with ABS being its collaborative partner to deliver the programme to the banking industry.
Who is INFORMS?
INFORMS is the leading international association for professionals in operation research and analytics – CAP and ACAP is thus recognised worldwide as the premier vendor and software neutral professional certification for analytics professional.
Who recognises INFORMS CAP and ACAP?
The certification is recognised worldwide, which is a huge competitive advantage in today’s multi-national banking and financial industry. In fact, 20% of Fortune 100 companies employ at least one person with a CAP certification; with CAP certified employees found in over 200 companies in more than 20 countries across the globe.

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