Business Analytics and Data Science

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.

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.

Digital technologies are reshaping companies and industries. This dramatic change is forcing firms to adapt to and embrace this change. This course will help you staying ahead of this radical transformation by providing you with a more clear understanding of this new landscape and the strategic choices and tradeoffs it presents.

This course offers students the chance to understand and analyze data. We will explore the fundamentals of data exploration and we will apply these tools to business problems.

The course deals with the assessment of the financial consequences of managerial decisions.
More in details, it tackles different aspects of the topic: the short term impact on profitability, the short term impact on the financial position, the long term impact on the economic value and the strategic impact of the decision.
This differentiated approach allows to manage the trade offs among different dimensions (profitability, financial position and strategy) in order to take more consistent decisions.
Furthermore, part of the program is focused on the exploiting of financial and strategic data through mathematical and statistical approaches with the aim of increasing the effectiveness of managerial 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 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.

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 provide participants with an understanding of how artificial intelligence (AI) and machine learning (ML) can be used to create value in various business contexts. In this course, participants will learn how to identify opportunities to apply AI and ML in different business areas, such as marketing, finance, operations, and customer service.