Data Analytics for Leaders

Course Information
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Overview
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Learning Outcomes
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Who Should Attend
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Testimonials
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Trainer's Profile
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Course Outline
This course is designed to equip business and government leaders with the essential knowledge to understand data analytics and apply it effectively for data-driven decision-making within their organizations.
By the end of the workshop, you will be able to:
- Grasp key concepts in Data Analytics, including definition, benefits, use cases, approaches, main drivers, trends, process lifecycle, project success factors
- Understand the basics of implementing a Data Analytics solution with a hands-on case study using Google sheets
- Use Data Analytics techniques that include question definition, data cleaning, exploratory data analysis, descriptive statistics, pivot tables, data visualisation
- Leverage data storytelling to share the findings with decision makers to take action
- Comprehend how Generative AI tools like ChatGPT could be used to support Data Analytics
- Senior Leaders & Department Heads
- Team Leads & Managers
- High Potential & Emerging Talent
- Business Owners & Entrepreneurs
- Product & Strategy Leaders
- Finance & Risk Managers
- Public Sector & NGO Leaders
“The training enabled me to appreciate the different types of data analytics and its application in making business decisions” – Senior Leader specializing in Business Process Outsourcing
“Informative and useful training” – Senior Logistics Professional

Edwin Liok is a tech leader with strong expertise in data analytics, digital transformation and management consulting. He has delivered more than 30 data analytics projects for retail, wholesale, healthcare, government, fast-moving consumer goods and banking. He architected the 5-year analytics blueprint strategy for a Singapore public sector healthcare provider. The project won the 2009 Oracle BI / EPM Innovation Award that was presented in San Francisco, USA
Chapter 1: Introduction to Data Analytics
· What is Data Analytics?
· Benefits of Data Analytics and use cases
· Data Analytics approaches, key drivers, trends, process lifecycle
Chapter 2: Getting started with Data Analytics
· Defining the business questions
· Cleaning data
Chapter 3: Deep dive into Data Analytics
· Data exploration and analytics
· Data visualization
Chapter 4: Leveraging Data Analytics for Decision Making
· Data storytelling
· Bonus: Leveraging ChatGPT for Data Analytics
