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AI and Data Analytics Training in Singapore

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Making data, AI and analytics accessible

Everyone analyses data subconsciously to make decisions — be it an HR manager aiming to control staff attrition, a marketing head trying to predict consumer trends, or a business leader identifying the fastest path to growth. We build on this inherent ability and help decision-makers transition to using data and AI consciously, to their advantage. We empower them with the knowledge, tools, and techniques needed to make data, analytics, and AI an indispensable part of the decision-making process.

Our comprehensive approach covers the full spectrum of modern skills — from data analytics and visualisation to Generative AI, prompt engineering, AI agents, agentic AI, and automation. We equip decision-makers to extract valuable insights from data, leverage AI to streamline operations, and deploy intelligent agents to automate complex workflows. Whether it’s improving customer satisfaction, uncovering hidden patterns, or identifying new market opportunities, our training programmes provide the foundation for AI-powered, data-driven success.

What makes us different

Featured courses

Prompt Engineering: AI (Full Day)

Level: Intermediate

A comprehensive workshop on Generative AI and prompt engineering. Master advanced techniques, real-world applications, and responsible AI use in a full-day hands-on session.

Suitable for: Corporate teams

Duration: 1 Day

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Prompt Engineering: AI (Half Day)

Level: Basic

A practical introduction to Generative AI and prompt engineering. Learn to craft effective prompts and apply AI conversation design skills in real business contexts.

Suitable for: Corporate teams

Duration: Half Day (9am – 1pm)

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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

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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

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

Upcoming workshops

TBA

WE ENABLE

transformations

Accord goes virtual

In keeping with the times, we now offer data analytics courses virtually. Our training toolkit ensures that the virtual experience is as enriching and engaging as the classroom one.

Analytics for everyone

Analytics for Non-analytics Professionals is an IBF-accredited data analytics course. Eligible participants can avail IBF-STS funding payable via SkillsFutureCredit (SFC).

Going beyond training

On Dignity Day, we helped provide 200 bentos as part of Rotary Club of Singapore East's awareness initiative for the differently-abled employed at Dignity Kitchen, Boon Keng Road.

Making a difference

“Probably the best course I have attended so far. Inspiring and with great content that is well structured. The trainer was brilliant – explained all the concepts with clarity using relevant examples in a way that was easy for layman to appreciate. If he had taught me statistics back in university I would have done very well.”

Participant
Data Analytics workshop

“The course was great content-wise. The trainer was excellent – a model presenter. Slides were well thought through and aided the lesson flow.”

Participant
Data Analytics workshop

“The course was informative and NOT boring. Concepts explained in an ‘easy to understand’ manner.”

Participant
Data Analytics workshop

“The course is amazingly GOOD! Trainer is able to keep us engaged, using simple and relatable examples for us to understand complex data analytics concepts. He makes the course interesting with movie analogies, Netflix, target etc. Highly recommend this for everyone interested in DA.”

Participant
Data Analytics workshop

“I like that it is very insightful. It brings about new perspective of data and how we can apply it.”

Participant
Data Analytics workshop

“The trainer is very clear in his explanation. His stories draw connection between data analytics and what is happening in our daily lives/ work. This makes us understand why we need to learn data analytics.”

Participant
Data Analytics workshop

“I find this course really helpful for officers who need to analyse data. I can’t wait to put this knowledge to use at work!”

Participant
Data Visualization workshop

“The amazing tutorials on power view, pivot tables and the hands-on case study approaches that really made us think and apply the concepts we learnt!”

Participant
Data Analytics workshop

“Loved the hands-on trial, group project, step by step guides, and being able to practice what we have learnt on an actual case. Time control and break times were also good/well planned.”

Participant
Data Visualization workshop

“Pacing and pitching of course was good. Hands on practice was also very helpful.”

Participant
Data Analytics workshop

FAQ

What is Data Science?

Data Science is a multidisciplinary branch that aims at analysing raw data in order to make informed corporate decisions. It utilises the principles of Mathematics, Computer Science, Information Technology, and Statistics to draw insights from raw data.

Various tools like AI and machine learning, algorithms and software are used for analysing data.

Why are data science skills important in corporate training?

The importance of data cannot be ignored in today’s times. Most businesses are placing emphasis on data visualisation and data analysis skills to make informed decisions. Needless to say, it is one of the most sought after skills within the corporate world, especially in the finance and technology niche.

Will I receive a certificate at the end of the course?

Yes. This is an IBF-accredited course. The certificate provided at the end of the course is recognised by all employers in Singapore.

What are the prerequisites for these trainings and workshops?

The programmes are suitable for both- analytics and non-analytics professionals.

Is there a way to get subsidies to cover the course fees?

The Institute of Banking & Finance (IBF) provides funding for IBF-accredited courses to eligible Singaporeans and PRs subject to their meeting eligibility criteria.

Is data analytics a good career?

Data analysts are professionals who are sought-after globally. There is a strong demand for data analysts as companies that use data need someone who is able to analyse it. Data analysts command high salaries because there are limited people working in such roles.

Can a beginner learn data analytics?

Yes, anyone can learn data analytics if they’re interested. There are courses such as Accord’s Analytics for Non-Analytics Professionals that are designed to offer the fundamentals of working with various tools, methodologies, and techniques for workplace data analytics.

What is data literacy?

Just like how literacy is one’s ability to derive information from words, data literacy refers to the ability to read, understand, analyse, work, communicate and even argue with information derived from data. Certain skills are required in understanding data as it is not the same as reading plain text.

Why is data literacy important?

Data literacy yields some powerful benefits for your business. It allows you to discover hidden insights, current trends and patterns that may be the solution to business problems. Data literacy improves decision-making, productivity, innovation, and customer experience, all of which will help your organisation succeed.

What is an example of data visualisation?

A simple example of data visualisation is the ability to present and communicate data accurately and effectively in graphical representations. For example, a bar chart is more effective to show ranking while a pie chart is better at showing share of total.

What is the difference between data analytics and data visualisation?

Data analytics is the process of analysing raw data sets using specialised software and tools. [It is used to make informed business decisions.]

Data visualisation creates a graphical or pictorial representation of raw data and information for better understanding. It also helps present and communicate information and insights efficiently.

Data visualisation tools like Tableau and Power BI not only help you explore and analyse your data but also communicate insights through dashboards and visual stories.

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