Through various examples and business application cases, the aim is to analyze the alignment of a company's business needs with its technological solution requirements. The main Data Science techniques currently applied (e.g. Big Data, Blockchain, IoT and other trends) will be explored, as well as the fundamental aspects for implementing Data Science capabilities in a company, transforming it into data-driven or even data-centric.

ESSENTIAL TOPICS: Data models and non-distributed environments; Big Data, architecture design and operations; EDA(Event-Driven Architecture), IoT(Internet of Things) and Blockchain; Fundamentals of machine learning and other analytical techniques; Data analysis for decision-making; Business cases by management area and sector; Implementation of data-driven and data-centric capabilities in companies.