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Data Science

Certified Data Science Specialist (CDSS)


Our lives are flooded with large amounts of information, but not all of them are useful data. Therefore it is essential for us to learn how to apply data science to every aspect of our daily life from personal finances, reading, and lifestyle habits, to make informed business decisions. In this course, you will learn how to leverage data to ease life or unlock new economic value for a business. This course is a hands-on guided course for you to learn the concepts, tools, and techniques that you need to begin learning data science. We will cover key topics from data science to big data, and the processes of gathering, cleaning, and handling data. This course is well balanced between theory and practical, and key concepts are taught using case study references. Upon completion, participants will be able to perform basic data handling tasks, collect and analyze data, and present them using industry-standard tools.

Certified IoT Specialist (CIoTS)


The Internet of Things (IoT) as a buzzword has caught the attention of many. This course will help you gain adequate knowledge of IoTs. You will be able to understand the potential of IoT for our society, in terms of its impact on the lives of billions of people and on the world economy. You will also understand the underlying technology that powers IoTs, as well as the challenges that come with such technologies. We will explore many real-life examples of IoT devices that are commercially available, and you will have a glimpse of the future of IoT.

Fintech Foundation Certificate (FFC)


A brief introduction will be given to the traditional financial world and the global Fintech market, with a dive into each category including lending, personal finance, payments, investments, equity financing, remittance, consumer banking, crowdfunding, and blockchain. For each vertical in the banking industry, a brief explanation will be given for each sector of the Fintech industry, including applications, and market insights with examples of real-world case studies of multiple Fintech companies. Due to the strict global financial regulatory requirements, regulations set by the Malaysian Government institutions and other global leaders in Fintech will also be discussed under each segment.

Introduction to AI for Business Executives


The term artificial intelligence (AI) refers to a set of computer science techniques that enable systems to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Machine learning and deep learning are branches of AI that, based on algorithms and powerful data analysis, enable computers to learn and adapt independently. Artificial intelligence (AI) is no longer the future. For businesses, it is the here and now, and executive suites and boardrooms around the world see it as such. They might be expected to be wary, given that much is unknown, even among scientists, about how AI capabilities might develop in the coming years. Or that policymakers and regulators have barely begun to study its potential implications for markets and workforces. Many business leaders certainly expect AI to be disruptive. More than 40% of those surveyed for the study anticipate that I will start displacing humans from some jobs in their industry within the next five years. Slightly more think their own role will be changed by AI in the same time frame. But they see this more as augmentation than marginalization. An overwhelming majority believe it will make their job easier and help improve their own performance. They clearly believe it will do the same for the businesses they manage. Based on a global survey of 203 senior executives, companies in health and life sciences, retail, manufacturing, and financial services are actively testing the waters. Among this group, AI technologies and applications are in the exploratory phase at around one-third of companies, but another third have moved on to experimentation, and one-tenth have begun to utilize AI in limited areas. A small handful (2.5%) have even deployed it widely. Assuming minimal prior knowledge, this course provides complete coverage of the key aspects and topics in Artificial Intelligence today, including how all the technologies fit together into a complete solution, the application AI such as image and speech recognition, search, clustering, optimization, prediction, and understanding data, and how executives can start on their AI journeys.

Introduction to Deep Learning with NVIDIA GPUs


Organizations are using deep learning and AI at every stage of growth, from startups to Fortune 500s. Deep learning, the fastest-growing field in AI, is empowering immense progress in all kinds of emerging markets and will be instrumental in ways we haven’t even imagined. Today’s advanced deep neural networks use algorithms, big data, and the computational power of the GPU to change this dynamic. Machines are now able to learn at the speed, accuracy, and scale that are driving true artificial intelligence and AI Computing. Learn the latest techniques on how to design, train, and deploy neural network-powered machine learning in your applications. You’ll explore widely used open-source frameworks and NVIDIA’s latest GPU-accelerated deep learning platforms.

Machine Learning for Business Intelligence


In this course, we introduce the field of machine learning and describe the well-known processes, algorithms, and tools for one to be a successful machine learning practitioner. This course will help to build skills in data acquisition and modeling, classification, and regression. In addition, one will also get to explore very important tasks such as model validation, optimization, scalability, and real-time streaming.

Power BI


Power BI is a technology-driven business intelligence tool provided by Microsoft for analyzing and visualizing raw data to present actionable information. It combines business analyticsdata visualization, and best practices that help an organization to make data-driven decisions. In February 2019, Gartner confirmed Microsoft as Leader in the "2019 Gartner Magic Quadrant for Analytics and Business Intelligence Platform" as a result of the capabilities of the Power BI platform.