Data Management

The aim of the course is to introduce the fundamental concepts of statistics, mathematics, probability, and computer science necessary for data analysis. The course begins with a general introduction to data analysis and descriptive statistics, followed by an exploration of key topics in linear algebra and probability.

This course will be focused on where data is stored, where are data housing and data lakes, what do all different domains do and mean and how we can relate to them. During this course you will understand how they change the way we do business and will get to know the potential barriers that data storage can generate in your business.

During this course you will learn how to use Python to analyze data, automate tasks, and create visualizations that can help you make better business decisions.

This course will cover the fundamental of machine learning for medium and large dimensional data sets. During the course you’ll explore how different methods can be used to analyse data, classify information and make predictions. This course will also provide you with some understanding on how some machine learning tools can operate.

This executive-level course is designed to equip senior decision-makers, executives, and leaders with a comprehensive understanding of large language models. Participants will explore the fundamentals of large language models, with a focus on GPT models, gain insights into their applications and key implementations, and examine emerging trends and future developments in artificial intelligence.

This course is designed for those who work with data and want to deepen their knowledge on ways to make effective visualizations and dashboards. You will learn how visual memory works, how to use different chart types appropriately in order to answer specific questions, and how to design dashboards using visual best practices. Key concepts will be explored using a hands-on teaching method, alternating between theory and practice.

This course is designed to equip participants with the essential skills and knowledge required for managing artificial intelligence (AI) within the context of business innovation. It aims to systematically guide learners in understanding, embracing, and capitalizing on the transformative potential of AI to redefine business futures. The first part of the course focuses on AI and different aspects of business innovation, such as products, services, processes, organizational structures, and business models, and the exploration (sensing, seizing and implementing) of business opportunities related to AI. The second part, explores the role of AI in enhancing various stages of the Business Innovation pipeline, providing practical insights into leveraging AI for business evolution.

Today’s digital technologies and devices such as smartphones, smart products, the Internet of Things (IoT) provide companies with abundant data about consumer behavior prior, during and post transactions. This course explores how to extract useful information from relevant data to garner important insights to guide more effective decision making.

The digital transformation is determining significant changes in operations and supply chain management (SCM) processes. Technologies such as Internet of Things (IoT) and Cyber Physical Systems, artificial intelligence (AI), robotics, cyber security, data analytics, block chain and cloud technology are radically transforming production and distribution systems. This course aims to investigate these transformations to understand the firms’ ability of gathering and analysing information about their environment can generate significant value to the SCM processes.

This course explores the ways in which new technologies are re-shaping the financial services industry. The course will provide insights on how blockchain, AI and deep learning can affect the financial industries. Students will also gain an understanding of how these technologies can affect the competitive landscape of the financial sector.

This course is designed to provide a comprehensive understanding of the transformative power and ethical considerations of AI in modern business practices. Participants will explore the evolution of AI, delve into current trends and technologies, and understand the implications for future business models. With a focus on both theoretical knowledge and practical application, this program covers the ethical dimensions of AI, the regulatory landscape, and strategies for integrating AI responsibly into business operations.

The course introduces the principles of the cloud as an enabling infrastructure for data management and analysis. It will illustrate the scalability, security, and integration logics that enable companies to make their data more accessible, manageable, and ready for use in decision-making processes. The goal is to understand how the cloud transforms data into a strategic resource, supporting innovation and operational efficiency.