Programme Objective

Did you know that data-driven organisations are more likely to acquire and retain customers?

As a core pillar of strategic decision-making in the business world, data now plays an important role in providing insights into how companies can improve customer experiences and drive better business outcomes. 

While data modelling and engineering fall within the scope of data scientists and/or data analysts, business leaders and managers also have a critical role to play in facilitating data-driven decision-making processes. They need to frame the problems and analyse the results to derive actionable insights and provide recommendations for the next steps that the business can take. Besides knowledge and understanding of data science, managers will need to synthesise these with the business aspect in order to address modern challenges brought about by digital transformation and the evolving business landscape.

This course addresses the common questions and uncertainties that business decision makers have when presented with analytics output. It equips learners with the necessary knowledge and skills to discern good analytics work from a poor one, so that they can help their organisations drive data-driven efforts more effectively.

Programme Outline

At the end of the course, learners will be able to:

• Understand the application of analytics across different domains.
• Formulate business problems that can be solved using analytics.
• Understand the basic processes involved in an end-to-end project.
• Understand the benefits, risks and processes involved in implementing analytics projects.
• Evaluate a project given the organisation’s analytics maturity.

Training Methodology
Blended learning - live sessions, group activities, discussions, feedback and interactions.

 

Structure

• Course duration: 2 weeks (online). 
• Learners' time commitment: 3 to 5 hours per week. 
• This course has 2 synchronous live sessions - group activities, discussions, feedback and interactions. 
• Throughout the course, learners are expected to actively contribute to the group activities and are encouraged to apply the knowledge learnt.

 

Live SessionsLearners are required to attend the mandatory Live Sessions scheduled (via Zoom) as part of the course requirement. This will help to reinforce learning with the cohort. Please refer to the schedule below for each class: 
 

For September 2023 intake (Access for E-Learning will be open from 11 Sep 2023 till 22 Sep 2023)

●  Live session 1: Fri 15 Sep 2023, 4pm – 5pm 
●  Live session 2: Wed 20 Sep 2023, 4pm – 5pm 

 

For November 2023 intake (Access for E-Learning will be open from 21 Nov 2023 till 5 Dec 2023)

●  Live session 1: Fri 24 Nov 2023, 4pm – 5pm 
●  Live session 2: Wed 29 Nov 2023, 4pm – 5pm 

NOTE: This is a blended learning course that comprises of e-learning modules and 2 live-webinars. Participants should complete both e-learning modules and attend all live webinars to complete this course.

Closing Date for Registration
1 week before programme or until full enrolment

Intended For

This course is appropriate for any professional who is interested in using data and analytics to address business issues or business managers and leaders who want to frame problem statements and analyse the results of an analytics project to improve strategic decision-making.

Programme Facilitator(s)