AI & Machine Learning Training Course in Singapore

This IBF-accredited course introduces professionals without an analytics background to the fundamentals of data analytics, and establishes the relevance of data in business thinking. It facilitates learning through case studies and engaging examples as well as activities and exercises.

Course Details

3019

1896

Our data analytics workshop offers an introduction to the world of data through relatable and engaging examples, stories and case studies. It focuses on practical application, equipping participants with the techniques and tools needed to effectively use data analytics at the workplace.

A 2-day, interactive course, Analytics for Non-analytics Professionals includes activities, practice exercises and brainstorming sessions. Day 1 features a hands-on session on how to use tables in Excel to analyze large datasets quickly. Day 2 focuses on understanding and applying regression, a popular and versatile predictive analytics technique.

On successful completion of the course and the final assessment, participants receive a Certificate of Completion, and the sponsoring company is eligible for receiving a Training Allowance Grant (SGD 15/hour, per participant, up to SGD 180).

This course is ideal for:

  • Those who are new to data analysis
  • Banking, finance and FinTech professionals
  • Managers and directors
  • Those who make critical business decisions

This data analytics course is designed to help you:

  • Understand what is data analytics, types of data analytics and their guiding principles
  • View examples of application of analytics across functions and industries
  • Learn the 6 key steps to analytical decision making
  • Familiarize yourself with common techniques used in predictive analytics
  • Perform data analysis using Microsoft Excel (including pivot tables and other Excel functions)
  • Create basic dashboards in Excel using pivot tables, charts and slicers
  • Perform regression using Excel for predictive analytics on case studies
  • Identify opportunities for the application of analytics within your organization
  • Learn about global analytics trends and how they are impacting the world

DAY 1

Module 1: What is data analytics

  • Overview of data analytics
  • Classification of data analytics

Module 2: Analytics in action

  • Applications of analytics
  • When analytics cannot be applied

Module 3: Framework for analytical decision making

  • The 6-step framework for analytical decision making

Module 4: Understanding data and its tools

  • Statistical techniques and data analysis
  • Data analysis using pivot tables and Excel

 

DAY 2

Module 5: Introduction to predictive analytics

  • Principles of predictive modelling and machine learning
  • Common applications of predictive analytics

Module 6: Regression with MS Excel

  • Simple linear regression
  • Multiple linear regression

Module 7: Case study analysis and presentation

  • Case study analysis
  • Communicating insights through data visualization

Module 8: The future of analytics and trends

  • How analytics impacts organizations

IBF Standards Training Scheme (IBF-STS)

Analytics for Non-analytics Professionals is an IBF accredited data analytics course. It qualifies for funding under the IBF Standards Training Scheme (IBF-STS funding), subject to participants meeting all eligibility criteria.

 

Who is eligible for funding?

  1. Individuals
    Those who aren’t sponsored by a company, but are Singapore citizens or Singapore Permanent Residents physically based in Singapore.
  1. Company-sponsored individuals
    Singapore Citizens or Permanent Residents, physically based in Singapore, can be company-sponsored participants. Here, company sponsors refers to financial institutions regulated by MAS (either licensed or exempted from licensing) and FinTech companies registered with Singapore FinTech Association.

For more information on funding, visit www.ibf.org.sg

 

Skills Future Credit (SFC)

Singapore citizens aged 25 and above can use their SGD 500 SkillsFutureCredit granted by the Government to pay for a wide range of approved skills-related courses, including Analytics for Non-analytics Professionals.

To find out how to submit your claim, visit the SkillsFutureCredit website at www.skillsfuture.gov.sg/credit

Fee structure

Self-sponsored Participants

Fee: SGD 1,284 w/GST
Subsidy up to 30.06.2021: 95%*
Fee payable before 30.06.2021: SGD 64.20 w/GST
Eligibility for subsidy: Singapore citizens and PRs
Training Allowance Grant: NA

 

Company-sponsored Participants

Fee: SGD 1,284 w/GST
Subsidy up to 30.06.2021: 95%* (subsidy does not include GST)
Fee payable before 30.06.2021: SGD 144 w/GST
Eligibility for subsidy: Companies regulated by MAS + Companies registered with Singapore Fintech Association
Training Allowance Grant: SGD 15 per hour

 

Company Teams (In-house Training)

Fee: SGD 1,284 w/GST
Subsidy up to 30.06.2021: 95%* per participant (subsidy does not include GST)
Fee payable before 30.06.2021: SGD 144 w/GST per participant
Eligibility for subsidy: Companies regulated by MAS + Companies registered with Singapore FinTech Association
Training Allowance Grant: SGD 15 per participant

*From 01.07.2021 to 31.12.2021, 90% subsidy will be available from IBF.

Cancellation Policy

Upcoming Sessions

Course Information

courseinfo 20

Type of participants

Individual / Company-sponsored

Course prerequisites

Basic knowledge of MS Excel

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Next available session

18 March / 29 March / 26 April

Course type

Virtual / In-house

Accreditation

By IBF

Funding

Subject to eligibility

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Before subsidy

SGD 1,284 w/GST

After 95% IBF subsidy

SGD 64.20 w/GST (self-sponsored)
SGD 144 w/GST (company-sponsored)

Training Allowance Grant to companies

SGD 15/hour per participant

Related courses

Analytics for Non-analytics Professionals (IBF: Level 3)

Level: Basic

This IBF-accredited course introduces professionals to the fundamentals of data analytics via relatable examples. It focuses on practical application, and equipping participants with the techniques and tools needed to effectively use data analytics at the workplace. A 2-day interactive course, it includes activities, practice exercises and brainstorming sessions.

Suitable for: Individuals & Corporates

Duration: 2 Days

Data Analytics – An Overview in Stories

Level: Basic

Learn the fundamentals of analytics through engaging stories.

Suitable for: Corporate teams

Duration: 1 Day

Visual Analytics & Data Storytelling

Level: Intermediate

Master visualising, data analyzing and communicating data using charts and graphs via Tableau, Power BI or Excel.

Suitable for: Corporate teams

Duration: 2 Days

Introduction to Predictive Analytics

Level: Advanced

Work on prepared datasets and practise data modelling for predictive analytics through this course on machine learning principles, algorithms and more.

Suitable for: Corporate teams

Duration: 2 Days

Things to know

IBF subsidy

Analytics for Non-analytics Professionals is an IBF-accredited data analytics course. Individual participants who are Singapore citizens or PRs are eligible for a 95% subsidy under the IBF Standards Training Scheme. Singapore citizens can pay the net fee via SkillsFutureCredit (SFC).

Company sponsorship

You can also ask the company you work for to sponsor you for this course. Eligible companies will, in addition to the 95% subsidy, receive a Training Allowance Grant up to SGD 15 per hour.

Designed for corporates

Companies regulated by MAS (either licensed or exempted from licensing) and FinTech companies registered with Singapore FinTech Association can send individual employees or teams for this course. A 95% subsidy and a Training Allowance Grant of SGD 15 per participant, per hour are available.

Join our virtual classroom

Keeping current circumstances in mind, we now offer our Analytics for Non-analytics Professionals course virtually. Our virtual classroom is just as engaging as a physical classroom setup.

Meet our trainers

Jessie Zhou 1

Jessie Zhou

Associate Trainer

Moh Said 1

Mohammad Said

Associate Trainer

Making a difference