Today, outdated architectures and processes are giving way to more modern, real-time applications. It is essential that companies have professionals who stay at the forefront of knowledge, experience, and the tools necessary to work with the complex data now available to everyone, and whose volume continues to grow. Individuals or companies using media platforms, process automation, and data aggregation from diverse sources must be able to store and analyze this data in real time. This allows organizations to make more informed decisions and enables students to acquire new skills, giving them a competitive edge and increasing their job prospects.

Goals

At the end of the course, participants will gain an understanding of the Internet of Things (IoT), the ability to obtain data from IoT systems using data analysis techniques to gain understanding, which increases their employability.

They will also learn how to acquire, transform, and visualize data collected from IoT sensors and machines using Python data libraries.

Addressed to

Professionals from all disciplines related to information technologies, systems engineers, electronic engineers and technicians, data managers, systems analysts, as well as university students or entrepreneurs, with basic computer knowledge and programming fundamentals that allow them to solve basic problems.