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Advanced Techniques in Business Analytics using Data Analysis Expressions (DAX) & ChatGPT

  • Analytics & Tech
  • Innovation & Business Improvement
  • Basic
  • SkillsFuture
  • Full Certificates
  • This module is part of Advanced Certificate in Spreadsheet Analytics (ACSA)

This programme is conducted on-campus.

Next course starts on
To be advised
Fee
SGD1,744* (as low as SGD203.20 after maximum funding) Learn More
Duration

3 days
Weeknights (7pm - 10:30pm)
Saturday (9am - 6pm)

Level
Basic

Who Should Attend

  • Business Managers
  • Business Owners
  • Data Center Executives
  • E-Commerce Executives
  • Finance Executives
  • Marketing Executives
  • Professionals

PREREQUISITES

  • Participants with at least a diploma qualification and should have basic computer literacy.
  • Software Requirement Specification
    1. Microsoft Windows 10 or 11 (MacOS not supported)
    2. Microsoft Office

      2.1 Windows Version ONLY

      • Microsoft 365 (previously known as Office365) SAAS versions
      • Microsoft Office 2019 or newer versions (Home & Student, Home & Business, Standard, Professional and Professional Plus)
      • Microsoft Office 2016 and older versions not supported


      2.2 Mac versions NOT supported

  • Hardware Requirements:  4GB RAM and above, 1GB hard disk space (For Power BI Desktop installation)

Overview

This module will focus on advanced analytics use cases in Microsoft Excel, using the in-built Data Analysis Expressions (DAX) and Power Pivot features to support learning. The objective is to enable participants to create simple summary and statistical insights within their business analytics solutions. This will be complemented by an introductory look at more advanced “predictive” techniques.

Learning Objectives

  • Employ Data Summary Analytics – using DAX to create “KPI” type measures
  • Use Data Enrichment – using DAX merge, splice, and modify data for analyses • Employ functions and features of “Power Pivot” – using Star Schemas to join data
  • Gain insights on Feature Mining through exploratory and confirmatory analytics
  • Understand Statistical Techniques by using simple statistical functions to reveal insight
  • Learn about Forecasting Techniques by using forecast techniques to reveal insight

Assessment

As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s direction, may be an online test and assignment.

Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.

Calculate Programme Fee

Click here for more information about SkillsFuture Credits (Not applicable for Company-sponsored participants)
For PSEA - Available only for Singapore Citizen below 31 (Not applicable for Company-sponsored participants)

Total Program Fee: SGD0.00

Fee Table

COMPANY-SPONSORED

PARTICIPANT PROFILE

SELF-SPONSORED

SME

NON-SME

Singapore Citizen < 40 years old

Permanent Resident

LTVP+

$523.20

(After SSG Funding 70%)

$203.20

(After SSG Funding 70%
+ ETSS Funding 20%)

$523.20

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$203.20

(After SSG Funding 70%
+ MCES Funding 20%)

$203.20

(After SSG Funding 70%
+ ETSS Funding 20%)

$203.20

(After SSG Funding 70%
+ MCES Funding 20%)

International Participant

$1,744

(No Funding)

$1,744

(No Funding)

$1,744

(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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Trainers

Dr Ke Jinghao
Director
JCube Institute
Dr Ke Jinghao
Director
JCube Institute

Dr Ke is a recognised expert in AI, finance, and business analytics, with a Ph.D. in Business (Finance) from Singapore Management University. He is Director of JCube Institute, specialising in professional training in data science and digital transformation, and Metaskills Institute, focusing on upskilling in fintech and emerging technologies. He also serves as Chief Corporate Officer at Integrum Global, leading AI solutioning, consultancy, and startup incubation, and is Director of the Singapore Vietnam Business Bridge (SVBB), supporting cross-border business development. 

Over the past decade, Dr Ke has delivered numerous commercial AI and analytics projects, including digital curriculum design, recommendation engines, and business intelligence systems for MNCs. He has advised corporates, governments, and universities on data-driven strategy, financial technology, and AI adoption. 

His leadership has fostered strong partnerships across Southeast Asia, especially through his involvement with the Vietnam Chamber of Commerce in Singapore and SVBB. These collaborations have enabled high-impact ventures in Fintech, sustainability, and digital transformation. 

An adjunct faculty member at Singapore Management University, Dr Ke brings practical insights into executive education and academic programs, blending industry experience with pedagogical rigour.

Evelyn Wong
Certified Lean Six Sigma Green Belt and Certified Scrum Master
NA
Evelyn Wong
Certified Lean Six Sigma Green Belt and Certified Scrum Master
NA

Evelyn currently leads infinuem as a Data Governance Specialist to play a pivotal role in participating in data governance initiatives, develop and implement data governance frameworks, policies, standards and roles. Besides being adept in software development, data analysis, machine learning, natural language programming and applications, Evelyn has an extensive background in corporate functions, including Compliance, Business Development, Sales & Marketing and Project Management at 3M and Agilent Technologies. Evelyn is also a Certified Lean Six Sigma Green Belt and Certified Scrum Master. She is well-versed in applying the advanced elements of the Lean Six Sigma, Agile and Scrum Methodologies in any organisation. Evelyn's professional education includes certifications in IT service management, enterprise architecture, and algorithmic trading, further underscoring her commitment to continuous learning and excellence in her field.

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