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Data Analytics Training in Singapore

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Making data analytics accessible

Everyone analyzes 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 regular person analyzing traffic patterns to identify the fastest route to work. We build on this inherent ability and help decision-makers transition to use data consciously to their advantage. We empower them with the knowledge, tools, and techniques needed to make data and analytics an indispensable part of the decision-making process.

Our comprehensive approach to data analytics equips decision-makers with the skills and insights necessary to extract valuable information from vast amounts of data. Through cutting-edge technologies such as machine learning and predictive modeling, we enable businesses to uncover hidden patterns, identify emerging trends, and make informed strategic decisions. Whether it’s optimizing operational processes, improving customer satisfaction, or identifying new market opportunities, our data analytics training solutions provide the foundation for data-driven success..

What makes us different

Featured 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 Machine Learning and AI

Level: Intermediate

Get an introduction to the principles that drive algorithms of artificial intelligence, machine learning and predictive analytics.

Suitable for: Corporate teams

Duration: 1 Day

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

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

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Making a difference


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.