Data Analytics – An Overview in Stories

Data Analytics Course For Beginners

In this 1-day Data Analytics – An Overview in Stories workshop, we introduce you to the world of analytics through examples, stories, and case studies. Apply your own insights and integrate your learnings into all functions within your organization for better decision making.

Course Details: Data Analytics – An Overview in Stories

Level: Basic

This is a basic awareness workshop designed for professionals without an analytics background. It gives you a good understanding of, and appreciation for, data analytics and how to use it effectively.

This workshop will introduce you to the world of analytics through examples, stories and case studies. We help you understand how analytics can be integrated in all functions for better decision making and you will also get multiple opportunities to apply your insights to come up with ideas on the applications of analytics within your respective teams.

We will also expose you to simple frameworks and widely used tools in analytics. We will de-mystify some of the ‘buzz’ words like machine learning / artificial intelligence and show you the intuitive thinking behind these techniques. The knowledge of these techniques will open a whole new way of approaching decision making from a data-driven perspective.

By the end of the workshop, you would have understood the importance of integrating data analytics in your decision making and would have also come up with ideas to apply analytics within your functions and teams.

A perceived ‘dry’ topic such as analytics will never be dull again.

This course is ideal for:

  • Those who are new to the space of data analytics
  • Employees at all levels in the organization (from junior executives to senior management)
  • Also check out the data storytelling course in Singapore

By the end of this workshop, you will:

  • Understand what data analytics and the different types of data analytics is
  • Appreciate the key questions that analytics can answer
  • See examples of the applications of analytics across functions and industries
  • Learn 6 key steps in analytical decision making
  • Appreciate some of the common techniques used in predictive analytics and the intuitive thinking behind these techniques
  • Identify opportunities for the application of analytics within your organisation
  • Learn about the global trends in analytics and how they are impacting the world. See specific examples of how analytics is being applied in your sector.
  • Data Analytics – the big picture
  • Applications of analytics
  • Framework for analytical decision making
  • Overview of predictive analytics and machine learning
  • Demonstration of analytics using tools
  • Trends in analytics

Course Information

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Type of participants

Corporate teams

Course prerequisites


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On demand

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Next session

On demand


1 day

Course type

Virtual /

Related courses

Key highlights

No jargon

Our course is filled with relatable examples and stories, taking a layman approach to understanding analytics. We refrain from using jargon and theory. That’s why our participants find what they learn impactful, memorable and practical.

Demystifying AI/ML

We give participants an introduction to the world of Artificial Intelligence and Machine Learning by teaching them the basic principles. It helps them grasp the key nuances and explore possible applications.


This course is suitable for middle and senior management professionals who may not be involved in hands-on data analytics, but need to grasp how analytics can help solve business problems.

Making a difference


What is a data analytics course?

Data Analytics courses have gained  popularity in the last few years. With this in mind, the Institute of Banking and Finance (“IBF”) in Singapore has accredited some reputed Singapore training organisations to offer certification courses in data analytics.

Accord offers both accredited and non-accredited courses on data analytics. Through the variety of courses offered by Accord, participants get a practical introduction to the concepts of data analysis, its applications, the framework of analytical decision making, an overview of predictive analytics and machine learning, a demonstration of various tools being used in analytics as well as a discussion on new trends in  data science. 

It is especially designed for professionals to gain understanding of how to approach decision making by understanding the fundamentals of the data ecosystem and the skills required to present data to stakeholders.

Why are data analytics skills important?

Various organisations today are using data analytics to target new market opportunities as well as make informed business decisions. 

This means that tools like Tableau and SQL have become a part of every business industry. Additionally, it also makes it vital for business managers to imbibe skills to analyse data and make insightful conclusions from raw market data. Data analytics and visualisation skills offer an unmatched skill set that can be applied to all industries and professions.

Who should do this data analytics course in Singapore?

This course is designed to help professional corporate teams and individuals to comprehend how data analytics can be used to improve decision-making. It aims to provide participants with a good understanding of data analytics and its effective uses. Participants will have opportunities to apply what they learn in this course and to fortify the skills that they learn. There is no need for an analytics background to attend this course. 

This course at Accord is ideal for candidates who are completely new to the world of data analytics. It is suitable and can be customised for employees of all levels within an organisation (from junior executives to senior business managers).

Are there any prerequisites for this course?

There are no prerequisites for taking this course. At Accord, our basic level course is designed for professionals without an analytics background.

Is coding required for a data analytics course for beginners?

At a beginner level, one is not required to have any knowledge of coding.

What kind of software do Data Analysts work with?

A data analyst may need to work with various software like data visualisation software, analytics software, database management software (like Excel, Google Sheets), and other business intelligence tools like Tableau, SQL, etc.