Equinet Academy > All Courses > AI in Data & Business Analytics Course

AI in Data & Business Analytics • 1 Module • 16 Hours

Smarter decisions, powered by AI.

AI in Data & Business Analytics Course

Transform data into actionable insights and smarter business decisions with AI-powered analytics.

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What's included
  • 16 hours of instructor-led training
  • Industry practitioner trainer
  • Alumni community access
  • Post-training mentoring and support

Course Description

What is This Course About?

Organisations have access to more data than ever before, but that data only becomes valuable when it leads to better decisions. With AI-powered analytics, professionals can now explore data, uncover patterns, and generate insights without needing to code.

This course teaches you how to turn business questions into evidence-based decisions using AI-assisted analytics. You will learn how to explore, prepare, and visualise data, build no-code predictive models, quantify business impact, and communicate recommendations responsibly.

Transform data into actionable insights and smarter business decisions with AI-powered analytics.

Tools Covered

Inside Your Toolbox

Specific tools depth of coverage may vary based on industry trends and learner needs.

Chatgpt
Claude
Microsoft Copilot
Excel
Power BI
Tableau
Looker Studio
No-code AutoML Tools

Course Outcomes

Skills That Give You an Edge

Skills Gained

AI-Assisted Analytics

Use AI to work with data faster.

Data Exploration

Find patterns, trends, and gaps.

No-Code Modelling

Build predictive models without coding.

Data Visualisation

Turn data into clear dashboards.

Business Impact

Measure ROI and decision value.

Responsible AI

Use AI outputs with judgement and care.

Course Outline

Inside The Course

AI in Data & Business Analytics Course Outline

 

1
Framing Business Problems with Data and AI
Topics Covered:
  • Translate business problems into analytical questions
  • Apply descriptive, diagnostic, and predictive analytics to uncover insights
  • Use AI tools to support analysis across the workflow without coding
2
Exploring, Preparing, and Visualising Data with AI
Topics Covered:
  • Explore and profile data with AI assistance to identify patterns and outliers
  • Prepare and clean messy data using AI-assisted tools
  • Build AI-assisted dashboards that reveal the story in a dataset
3
Generating Predictive Insight with No-Code AI
Topics Covered:
  • Apply machine learning concepts to business questions in plain language
  • Segment customers and markets using clustering with AI tools
  • Build predictive models with no-code AutoML for forecasting and classification
4
Turning Insight into Quantified Business Decisions
Topics Covered:
  • Apply machine learning concepts to business questions in plain language
  • Segment customers and markets using clustering with AI tools
  • Build predictive models with no-code AutoML for forecasting and classification
5
Communicating Insight and Applying AI Responsibly
Topics Covered:
  • Apply machine learning concepts to business questions in plain language
  • Segment customers and markets using clustering with AI tools
  • Build predictive models with no-code AutoML for forecasting and classification
6
Assessments
  • Written
  • Project

Trainers

Meet Your Educators

Founder of DigiTact, Architecting data & AI transformation initiatives and scalable training frameworksDelivered 30+ data & AI projects and trained over 1,560 professionals globallyClients Include Alinma Bank, National Bank of Kuwait, Commonwealth Bank of Australia, and Vitol Singapore

Target Audience

Who Should Attend

This course is designed for individuals who want to use data and AI-powered analytics to generate insights and support better business decisions.

It is suitable for:

  • Managers and Team Leaders
  • Marketing Professionals
  • Sales Professionals
  • Operations Professionals
  • Finance Professionals
  • Business Analysts
  • Business Owners and Executives

Certification Pathway

Get Certified

To attain the Certified AI-Enabled Data Analyst 2.0 certification by Equinet Academy, complete the following modules:

2Module 2: AI in Data & Business Analytics (2 days, 16 hours)You are here

A Certification of Completion by Equinet Academy will be awarded to candidates who have demonstrated competency in the AI in Data & Business Analytics course assessment and achieved at least 75% attendance.

Prerequisites

What You’ll Need to Get Started

  • No prior analytics, statistics, or coding knowledge is required
  • Comfort using a laptop and willingness to work hands-on with AI tools

Course Fee and Funding

Fund Your Brain Gain

This is a SkillsFuture-funded course. The full course fee is S$999.00. Your nett fee depends on your citizenship, age, and whether you are sponsored by an SME employer. Additional offsets like SkillsFuture Credit and SFEC can stack on top of your nett fee.

1. SSG SUBSIDY TIERS

Pick the row that describes you. Subsidies are applied at registration; no separate application is needed.

Who you areSubsidyNett fee
Singapore Citizen aged 40 and above, self-sponsored or employer-sponsored (Non-SME)MCES (MID-CAREER ENHANCED SUBSIDY)Baseline 50% + MCES 20% = 70% totalS$299.70save S$699.30
Singapore Citizen, PR, or LTVP+ Holder sponsored by an SME employerETSS (ENHANCED TRAINING SUPPORT FOR SMES)Baseline 50% + ETSS 20% = 70% totalS$299.70save S$699.30
Singapore Citizen, PR, or LTVP+ Holder aged 21 and above, self-sponsored or employer-sponsoredBASELINE FUNDINGBaseline 50%S$499.50save S$499.50
Foreigner / not eligible for SSG fundingSubsidies not applicableS$999.00full fee

Eligibility for ETSS depends on your employer’s SME status (ACRA-registered with annual sales of S$100M or less, or 200 employees or fewer). MCES applies to Singapore Citizens aged 40 and above. You receive whichever subsidy is most favourable, not both.


2. ADDITIONAL OFFSETS (STACK ON TOP)

These stack on top of your SSG subsidy to further lower your out-of-pocket cost. You can combine more than one if you qualify.

SkillsFuture Credit (SFC)

Self-sponsored
SINGAPORE CITIZENS AGED 25 AND ABOVE

Use your SkillsFuture Credit balance to offset your nett course fee. Singaporeans receive a base credit of S$500.

PSEA

Self-sponsored
SINGAPORE CITIZENS AGED 30 AND BELOW

Use your Post-Secondary Education Account to pay for SkillsFuture-related course fees. Apply via your bank or MOE.

SFEC

Employer
ELIGIBLE SME EMPLOYERS

Employers can use SkillsFuture Enterprise Credit (S$10,000) to offset up to 90% of out-of-pocket course fees on top of existing schemes. Check eligibility at enterprisesg.gov.sg.


3. WORKED EXAMPLE
Stacked funding example
Full course feeS$999.00
GSTS$89.91
Less: Baseline Funding (non-tax inclusive)− S$499.50
Less: MCES subsidy (non-tax inclusive)− S$199.80
Less: GST absorption− S$89.91
Nett fee after SSG subsidyS$299.70
Less: SkillsFuture Credit− S$299.70
Out-of-pocket after SFCS$0.00

Example assumes you have at least S$299.70 SkillsFuture Credit opening credit balance. Actual nett fee depends on your specific eligibility.

Course Schedule

Mark Your Calendar!

Duration: 2 Days (16 Hours)

Course Dates Trainer
10, 11 Sep 2026 -
9.00am - 6.00pm
Thu, Fri · In-Person
24, 25 Nov 2026 -
9.00am - 6.00pm
Tue, Wed · In-Person

Frequently Asked Questions (FAQs)

The Need-to-Know Stuff, Fast

Everything you need to know about the course. Can’t find the answer you’re looking for? Please contact our friendly team.

Yes. No prior analytics, statistics, or coding knowledge is required. The course starts with the fundamentals before progressively introducing AI-assisted analytics, data visualisation, predictive modelling, and business decision-making.

AI is integrated throughout the analytics workflow. You will use AI tools to explore data, identify patterns, support analysis, build no-code predictive models, and communicate insights more effectively. The course also covers responsible AI use, including verification, bias awareness, and data privacy considerations.

Data analytics helps you understand what the data is telling you. Business analytics helps you decide what to do next. This course combines both, showing you how to analyse data, generate insights, and turn those insights into business decisions.

You will learn how to turn business questions into data-driven decisions using AI-powered analytics. This includes exploring and visualising data, building no-code predictive models, evaluating business impact, and communicating recommendations with confidence.

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