Smarter decisions, powered by AI.
Apply NowTools Covered
Inside Your Toolbox
Specific tools depth of coverage may vary based on industry trends and learner needs.
Chatgpt
Claude
Looker StudioAI-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 Outcomes
Learning Outcomes
By the end of the course, you will be able to:
- Frame business problems as clear analytical questions that drive better decisions
- Explore, prepare, and visualise data to uncover patterns, gaps, and opportunities for improvement
- Build predictive models without coding to forecast outcomes and optimise strategies
- Quantify the business impact of insights to build compelling, ROI-backed recommendations
- Communicate findings clearly to executives while applying responsible AI practices
- Drive strategic decisions with confidence using a proven, end-to-end analytics process
Course Outline
What You’ll Learn
Want a portfolio & career placement?
Pair this course with an Equinet Career Programme
This course builds your capability and certifies you. It does not include a project-based capstone, client placement, or career coaching. Our Career Programmes are built for that: three months on a real project brief, your own product idea or a host organisation, with dedicated career support and mentorship throughout.
Many graduates take both: the course for the certification and capability, a Career Programme for the portfolio case study and placement. Speak to a course consultant about the combined pathway.
Trainers
Meet Your Educators
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:
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.
Course Code: TGS-2026064185
Course Support Period: 29 May 2026 – 28 May 2028
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 are | Subsidy | Nett fee |
|---|---|---|
| Singapore Citizen aged 40 and above, self-sponsored or employer-sponsored (Non-SME)MCES (MID-CAREER ENHANCED SUBSIDY) | Baseline 50% + MCES 20% = 70% total | S$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% total | S$299.70save S$699.30 |
| Singapore Citizen, PR, or LTVP+ Holder aged 21 and above, self-sponsored or employer-sponsoredBASELINE FUNDING | Baseline 50% | S$499.50save S$499.50 |
| Foreigner / not eligible for SSG funding | Subsidies not applicable | S$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)
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
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
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
Example assumes you have at least S$299.70 SkillsFuture Credit opening credit balance. Actual nett fee depends on your specific eligibility.
After the Course
Post-training Support
Your learning does not stop when the course ends. All graduates get ongoing access to three support channels included in the course fee.
Alumni Community
Join the Equinet Insider Network. Ask questions, share wins, and connect with fellow graduates and industry practitioners.
Live Post-Training Mentoring Sessions
Attend live group mentoring sessions with industry subject matter experts. Bring real problems from your work and get practitioner feedback.
Direct Trainer Access
Continue the conversation with your trainer after the course ends. Bring questions from real work and get practitioner feedback.
Post-training mentoring clinic sessions are included in your course fee.
1:1 paid mentoring sessions are also available for graduates who want deeper, project-specific guidance on their own work.
For Organisations
Training a Team?
Course Schedule
Mark Your Calendar!
Duration: 2 Days (16 Hours)
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10, 11 Sep 2026 - 9.00am - 6.00pm Thu, Fri · In-Person
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24, 25 Nov 2026 - 9.00am - 6.00pm Tue, Wed · In-Person
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18, 19 Feb 2027 - 9.00am - 6.00pm Thu, Fri · In-Person
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18, 19 Mar 2027 - 9.00am - 6.00pm Thu, Fri · In-Person
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26, 27 May 2027 - 9.00am - 6.00pm Wed, Thu · In-Person
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29, 30 Jul 2027 - 9.00am - 6.00pm Thu, Fri · In-Person
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26, 27 Aug 2027 - 9.00am - 6.00pm Thu, Fri · In-Person
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25, 26 Nov 2027 - 9.00am - 6.00pm Thu, Fri · In-Person
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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.
