Data Leader Series: Design thinking with Data

Leading Digital Transformation with Big Data

This forward-thinking course is designed to equip professionals with the knowledge and tools needed to lead digital transformation initiatives in the era of Industry 4.0. It emphasizes the symbiotic relationship between technological innovation and big data, illustrating how advanced data analytics can enhance operational efficiency and enable predictive analytics to forecast trends and behaviors. Participants will explore the essentials of design thinking as applied to AI projects, using theory and case studies to critically assess successful implementations and identify key factors for success.

Adapting to the Fast-Paced Digital Economy

As the course progresses, it introduces Agile Scrum and Lean methodologies, advocating for a customer-centric, value-driven approach while addressing the unique dynamics of data science teams. Participants will dive deep into the scrum sprint framework, gaining insights into iterative development and rapid delivery. The curriculum also emphasizes business agility, focusing on the capabilities required to thrive in a fast-paced, tech-driven landscape. By integrating AI business frameworks and fostering positivity and productivity, learners will be empowered to identify constraints, capitalize on enablers of organizational agility, and drive continuous improvement.

Upon completion of this course, learners will be able to:

• Leverage Big Data for Digital Transformation: Understand how big data contributes to digital transformation, enhancing operational efficiency and supporting predictive analytics in the context of Industry 4.0.
• Master Design Thinking for AI Projects: Apply the design thinking framework to AI projects, developing and critically evaluating successful implementations.
• Implement Agile and Lean Principles: Implement Agile and Lean methodologies with a focus on customer value, improving data science team performance and driving operational excellence.
• Enhance Business Agility: Identify and leverage enablers of business agility, measure performance effectively, and drive continuous improvement in a technology-driven business environment.
• Foster Positive, Productive Work Environments: Utilize strategies that promote positivity and productivity within teams, ensuring an agile approach to AI and data science projects.

• Data-Driven Executives: Professionals looking to harness big data for strategic advantage and lead digital transformation efforts within their organizations.
• Innovation Managers: Managers seeking to integrate design thinking with AI and technology projects to create innovative, scalable solutions.
• Agile and Lean Practitioners: Individuals aiming to optimize data science teams and processes through Agile and Lean methodologies, focusing on customer-centric value creation.
• Business Strategists: Professionals focused on enabling and sustaining organizational agility in the face of rapid technological advancements.
• AI Specialists and Data Scientists: Data professionals interested in blending Agile methodologies with AI initiatives to drive innovation and organizational growth.

"The instructor is patient and clear in his explanation. He uses useful and easy-to-understand examples to illustrate his points."

– Sylvia Sim, Senior Manager (Strategic Engagement), Elections Department

"The trainer provided good references to real-life scenarios. Understanding various data concepts was the key takeaway for this course."

– Peh Jun Zhong, Vice President, GIC Pte Ltd

Dwight

Dwight is a highly experienced data scientist and educator with a diverse academic and professional background. Holding a degree in Biotechnology from NUS, an Advanced Diploma in Pharmaceutical Management from MDIS, and a Masters in Education from NTU, Dwight ventured into data analytics and database management in 2014. He specializes in big data analytics, machine learning, text mining, and social media analytics. Dwight is also proficient in R and Python programming languages, with a strong passion for deep learning using sequential models and sequence-to-sequence models via Keras and h2oAI platforms.

As a Senior Data Analyst, Dwight has worked extensively with healthcare data, creating predictive models and offering data-driven insights. His broad expertise enables him to deliver practical and actionable knowledge in AI, Agile methodologies, and data science, making him an ideal trainer for this course. Dwight is deeply committed to empowering professionals with the skills to drive digital transformation and innovation using data-driven approaches.