Data Executive Series: Machine Learning for Business

In the era of digital transformation, mastering Big Data and advanced analytics is crucial. This immersive course will traverse the essentials of Industry 4.0, focusing on the symbiosis between technological innovation and the burgeoning world of Big Data. Participants will explore the foundational elements of Big Data, its frameworks, and the imperative of regulatory compliance in this sphere. As the course delves deeper into Data Governance, it reveals the pivotal role Big Data plays in enhancing operational efficiency and the predictive analytics that are reshaping various industries. The curriculum further unfolds to demystify Machine Learning (ML) fundamentals, guiding through its evolution, diverse types, and core workflows, with an introduction to the transformative power of Deep Learning. In the advanced stages, learners will encounter cutting-edge ML concepts, including Generative Adversarial Networks (GANs) and Reinforcement Learning (RL), alongside discussions on recent breakthroughs and the indispensable role of cloud computing in ML advancements. Designed for both strategists and technical practitioners, this course is a gateway to harnessing the full potential of Big Data and Machine Learning, catalyzing innovation, and driving competitive advantage in the digital age.

Upon completion of the course, learners would be able to:

• Learners will understand the dynamics of Industry 4.0, elucidating how Big Data drives digital transformation and technological dependency.
• Students will be able to articulate the benefits of Big Data in systems integration, operational efficiency, and predictive analytics.
• Participants will gain foundational knowledge of machine learning, including its types, workflow, and the emergence of deep learning.
• Attendees will explore advanced ML concepts, understand their real-world applications, and the cloud's transformative role in ML deployment

This course is designed for beginners with:

• Tech enthusiasts exploring the intersection of Big Data with Industry 4.0 and seeking comprehensive knowledge in data-driven technologies.
• Business analysts and strategists eager to leverage Big Data for operational and predictive analytics to drive business decisions.
• Data scientists and engineers aiming to expand their expertise in Machine Learning and its applications in contemporary tech.
• IT professionals focusing on implementing ML solutions and seeking to understand advanced concepts and cloud integration.
• Policy makers and compliance officers tasked with navigating the regulatory aspects of Big Data within their organizations.

"He tries to customise the course outline according to participants, very knowledgable about the subject/topic."

Dwight graduated with a degree in Biotechnology (from NUS in 2001), Advanced diploma in Pharmaceutical management (from MDIS in 2007) and Masters in Education (from NTU in 2013). In 2014, Dwight ventured into Data Analytics and Database Management and picked up Statistics/Machine Learning, Big Data analytics, text mining & social media analytics and web applications. His other expertise includes data science programming languages such as R and Python. He is also deeply passionate in deep learning using sequential models and sequence to sequence models using Keras and h2oAI machine & deep learning platforms and libraries. He is also a Senior Data Analyst, where he performs data analytics and create predictive models using healthcare data.