Data Analytics for Business Analysts

Course Reference No: CRS-N-0047039


Course Objectives

This course is designed for IT business analysts to, eventually, become data science consultants and provides the participants with a foundation in:  
  • Overview of data science techniques, process and technology
  • Data science consulting skills
  • Connecting business problem to data science
  • Understand critical success factors of data science projects
  • Managing analytics projects (both innovation cycle and deployment cycle)
  • Extracting, cleaning and transforming raw data into analytics-ready data
  At the end of the course, you will be able to:
  • Understand data science capabilities and its limitations;
  • Implement and manage the data science process for innovation and deployment cycles;
  • Advise and deliver high quality data analytics projects.


Day 1:

Module 1: Advancing Data Analytics in the Organisation

  • The big picture - big data and data analytics
  • Overview of machine learning, data science, artificial intelligence and deep learning
  • Discussion of analytics use cases

Module 2: Analytics Project Life Cycle

Overview of Analytics Project Life Cycle management
  • Introduction to Analytics Project Life Cycle (APLC)
  • Understanding Various stakeholders Roles (BAF, DS, Vendor, data owners) within APLC
  • Pain and problem when dealing with data analytic projects         
  • Visualization Workshop: Visualization for data exploration 

Day 2:

Module 3: Managing Data Analytics Project

Part 1: Managing Quality, Sustainability, Reliability and Timeliness of Data Analytics Projects through APLC
  1. Managing Quality and Reliability of Data Analytics Project
    • Where is the data?
    • What is going with the data in each phase?
    • What are the questions you would need to ask when managing vendor who perform analytic services?
  2. From Prototype (usability) to Deployment (Scalability) to Maintenance (Sustainability)
    What are the key considerations beyond prototype?
    • Data Staging
    • Data Transformation and results
    • Computation and results
    • Results accuracy
    • Visualization requirement

Module 4: Analytics Workshop (Text Analytics)

  • Concept
  • Procedure
    1. Preparation (Text to Words)
    2. Visualization
    3. Indexing
    4. Topic Clustering
  • Hands on practice


Python,Power BI


Participants should have 2 years of experience in the IT business analyst role.

Who Should Attend

IT Business Analyst

Mode of Training



Catherine Khaw

Catherine Khaw is an evangelist for data and analytics literacy at economy, organisational and individual levels. She is the founder of DNA Capitals which drives competitive advantage for organisations in all industries through taking full advantage of the opportunities which arise from digitization and big data. As a data and analytics evangelist, she is an active member of Tech Talent Assembly (TTAB) association which nurtures tech talents for lifelong employability, learning and sharing.

Catherine was formerly the Practice Chief of Analytics & Intelligent System at NUS Institsute of Systems Science (NUS-ISS), where she imparted her experience and knowledge to graduate students, business leaders and ICT practitioners. She also continues to serve as adjunct lecturer and coach to NUS ISS students and short course participants.




2 Days
9.00am to 5.30pm 


National University of Singapore
University Town

International Participants


Incl. GST

Singapore Citizens (39 yrs old or younger) or Singapore PRs


Incl. GST

Singapore Citizens(40 yrs or older)


Incl. GST

Enhanced Training Support for SMEs


Incl. GST

Fees & Fundings

Singapore Citizen1
39 years old or younger
Singapore Citizen1
40 years or older eligible for MCES2
Singapore PRs Enhanced Training
Support for SMEs3
Full Programme Fee S$1,900.00 S$1,900.00 S$1,900.00 S$1,900.00 S$1,900.00
SkillsFuture Funding
(Refer to Funding Page for Claim Period)
- (S$1,330.00) (S$1,330.00) (S$1,330.00) (S$1,330.00)
Nett Programme Fee S$1,900.00 S$570.00 S$570.00 S$570.00 S$570.00
7% GST on Nett
Programme Fee
S$133.00 S$39.90 S$39.90 S$39.90 S$39.90
Total Nett Programme
Fee Payable, Incl. GST
S$2,033.00 S$609.90 S$609.90 S$609.90 S$609.90
Less Additional Funding if
Eligible Under Various Scheme
- - (S$380.00) - (S$380.00)
Total Nett Programme Fee, Incl. GST,
after additional funding from the various funding schemes
S$2,033.00 S$609.90 S$229.90 S$609.90

  1. All self-sponsored Singaporeans aged 25 and above can use their $500 SkillsFuture Credit to pay for the programme. Visit to select the programme. 
  2. Mid-Career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the programme fee. 
  3. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. For more information, visit
  4. Eligible organisations (excluding government entities) may apply for the absentee payroll funding via SkillsConnect at for Singaporean/permanent resident participants attending the programme during working hours. The absentee payroll funding is computed at 80% of hourly basic salary capped at $4.50 per hour or $7.50 per hour for SME. For more information, visit
  5. Eligible individuals may apply for training allowance capped at $6/hr under the WSS scheme, visit- for more information on WSS.
  6. NTUC Training Fund (SEPs) – All self-employed (i.e. freelancers and sole-proprietors-with-no-employee) Singaporeans and Permanent Residents are eligible to apply for the NTUC Training Fund (SEPs) from NTUC’s Employment and Employability Institute (e2i). Click here for more information.
NTUC members enjoy 50% of the unfunded course fee support for up to $250 each year for courses supported under UTAP (Union Training Assistance Programme). Terms and Conditions apply. Please visit
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12 November 2020