Certified Analytical Professional
- Analytics & Tech
- Innovation & Business Improvement
5 Days
Who Should Attend
The programme is designed for business executives, particularly those who are involved in analysing, interpreting or using data for their companies. Managers and executives in various functional groups e.g. marketing and customer service who seek to push the use of data beyond typical boundaries are strongly encouraged to attend the programme. They should already have a foundation in quantitative analysis. For instance, taken statistics and quantitative research modules (e.g. Marketing Research) during undergraduate degree studies. They should already be familiar with basic statistical concepts (will not be discussed during the workshop) before attending the advanced level programme.
Participants who had attended and successfully completed the HR Analytics Certificate: Using Analytics to Improve People Decisions (Foundation Level) or Analytics for Management Decisions programme offered by SMU Academy would be deemed to have met the entry requirements for this advanced level programme. Please note that the programme facilitator will not be addressing basic statistical concepts in this programme.
Overview
Decision making is an important management activity and spans across functions from marketing, human resource to customer service. Good decisions lead to positive marketplace outcomes and poor decisions, in today’s competitive environment may lead to irreversible damage. To ensure good decisions are made, management relies on the support provided by analytical professionals who understand their information needs and are able to transform data into insights to aid decision making. Often, managers in various functional areas who are already familiar with their operational context make good analysts when they equip themselves with analytical competency.
To become an analytical professional, an executive needs to be trained to use various kinds of advanced analytical methods to address different management insight needs. This 5-day Certified Analytical Professional (Advanced Level) programme aims to produce this breed of professionals who are competent in addressing organisational needs for better insights.
Learning Objectives
Why Advanced Analytics
Competency levels may be classified as foundation level, which allows the practitioner to undertake most descriptive data analyses, and advanced level, which allows for analyses that yield predictive and prescriptive insights. Insights of the latter forms are the most useful and can translate into the greatest competitive advantage for companies.
Programme Objectives
The programme objectives are several-fold:
- To raise the competency level of professionals to an advanced level so that they are able to leverage on an array of analytical techniques and tools to obtain insights that support their organisation’s decision making function.
- To have a strong grounding of data, data types and the various classes of analysis.
- To understand data quality and data sources that impact the quality of insights obtained.
- To provide participants with the ability to undertake various types of multivariate analysis that includes regression modelling, choice modelling and structural equation modelling.
- To imbue in participants with the ability to think analytically so that they are able to conceptualise organisational challenges and goals in the form of analytical models to be examined.
Topic/Structure
Programme Outline
- The application of advanced level analytics in various functional contexts
– Categorisation of analytics
– Analytics as a solution to organisational challenges
– Case studies in the application of analytics
- Development of advanced level analytical competencies and the use of three analytical softwares (SPSS, WarpPLS and PERMAP). The software chosen for this programme complement each other and allows the analyst to provide useful insights for management. The scope of analyses covered in this programme includes, but are not limited to the following:
– t-Tests
– Anova Tests
– Factor Analysis
– Multiple Regression Models (with and without latent constructs)
– Binary Logistic Regression Models
– Best-Worst Scaling Models
– Conjoint Models
– Correspondence Analysis
– Discriminant Analysis
– Perceptual Mapping
– Structural Equation Modelling
- Framing of organisational challenges into analytical problems (development of analytical thinking). This development will be in the form of presentations by the instructor, discussion of cases and reflection by participants on analytical applications.
Assessment
Participants have to meet a minimum attendance rate of 75% and have to complete all assessment(s) required by the course. Only upon meeting the minimum attendance and passing the assessment will participants be issued a Certificate of Completion.
Participants who fail the assessment will be given a chance for re-assessment at a fee of SGD100.00 (excluding prevailing GST). Each participant is allowed 1 re-assessment. The re-assessment has to be taken within 7 calendar days from the end of the course date. It will be held on a weekday specified by SMU Academy and conducted during office hours. Please note that re-assessment fees are not supported by SSG Funding.
Participants who meet the minimum attendance rate but do not achieve a pass for the assessment will be issued a Certificate of Participation.
SMU will provide laptops pre-loaded with analytics software to all course participants.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$1,585.95 (After SSG Funding 70%) |
$615.95 (After SSG Funding 70% |
$1,585.95 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$615.95 (After SSG Funding 70% |
$615.95 (After SSG Funding 70% |
$615.95 (After SSG Funding 70% |
|
International Participant |
$5,286.50 (No Funding) |
$5,286.50 (No Funding) |
$5,286.50 (No Funding) |
All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.
This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.
Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).Workfare Skills Support Scheme
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Company Sponsored
Enhanced Training Support for SMEs (ETSS)
- Organisation must be registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
- Trainees must be Singapore Citizens or Singapore Permanent Residents
- Trainees must not be a full-time national serviceman
- Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Companies who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
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Testimonials
Additional Details
Certified Professional Business Manager (CPBM)
This programme is part of Certified Professional Business Manager. Participants who successfully complete 6 courses/modules with a minimum of 15 training days, from a list of qualifying programmes (terms and conditions apply) within 5 years will receive the Certified Professional Business Manager (CPBM). For example:
Please click here for CPBM details and list of qualifying programmes.
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