Artificial Intelligence and Data Science for Entrepreneurs

This course provides an in-depth understanding of data science, a discipline at the intersection of statistics, mathematics, and business analytics, focused on extracting knowledge and information from various forms of data. Throughout the course, students will explore the full data cycle, learning how to collect, cleanse, analyze, and interpret complex data sets. In addition, the course will cover the use of advanced data analysis tools and specific platforms to conduct effective and meaningful data research.

This course focuses on how machine learning can be applied in the business context to solve complex problems and create innovative strategies. Students will explore different machine learning algorithms, how to train them with data, and how to implement them effectively to maximize value and performance within organizations. The content includes case studies that show the successful use of machine learning in marketing, finance, operations, and more.

In a data-driven world, the ability to present it clearly and convincingly is essential. This course teaches students how to transform raw data into informative visualizations and engaging narratives. Through a hands-on approach, participants will learn how to use tools such as tableau and power bi, and develop graphic design skills applied to data visualization, ensuring that their data presentations are both aesthetic and functional.

 With the increasing reliance on data for decision-making at all levels of an organization, comes the need for a deep understanding of data ethics and governance. This course addresses the complexities associated with data ethics, including privacy, consent, security, and regulation. Students will explore how to implement data governance practices that are responsible and sustainable, while fostering innovation and regulatory compliance.

This course dives into the process of conceiving, designing, and launching products that are data-driven or data-driven. Participants will learn how the strategic use of data can lead to the creation of innovative products and how data-driven products can be a key differentiator in the marketplace. The course covers everything from idea generation to agile development, market validation and go-to-market strategy.

This advanced course offers an in-depth look at deep learning and generative AI technologies, focusing on their application in automating and improving business processes. Students will have the opportunity to work with neural networks, deep learning algorithms, and practical applications of AI that can transform the way businesses operate.

In this subject, students will examine how the analysis of large data sets can be used to support and improve business decisions. Big data technologies, such as Hadoop and Spark, will be explored, along with how they can be used to store, process, and analyze large volumes of information. The implications of big data on business strategy will be discussed, including how it can drive innovation and provide a competitive advantage.