Faculty of Engineering

Power BI for Business Processes with AI - Lima Campus

The Course

In an environment where data is a strategic asset for organizations, Power BI has become one of the most in-demand tools for transforming information into business decisions. This course provides practical training in data analysis and visualization, integrating Artificial Intelligence tools to optimize processes, automate tasks, and generate valuable information more efficiently.

Through an applied 100% methodology, participants will develop a real business project, learning to build data models, interactive dashboards, and executive reports ready for use in professional environments.

Learning Objectives

By the end of the course, participants will be able to transform data into strategic information for decision-making, using Power BI and Artificial Intelligence tools. They will develop skills to clean, consolidate, and model data from diverse sources, create advanced indicators and calculations, design high-impact interactive dashboards, and automate the generation of executive reports. They will also learn to securely publish and share analyses, contributing to more efficient and data-driven management within their organizations.

Addressed to

This program is designed for analysts, coordinators, supervisors, managers, entrepreneurs, and professionals in any sector who need to analyze data, optimize processes, and strengthen decision-making using Business Intelligence and Artificial Intelligence tools. It is also geared towards those seeking to develop highly sought-after skills in data analysis and digital transformation, without requiring programming knowledge.

Value Proposition

This course stands out for integrating Power BI and Artificial Intelligence into a practical 100% methodology, enabling participants to automate tasks, optimize data analysis, and generate high-impact reports without any programming knowledge. Upon completion, they will have a real-world business project and published dashboards, ready to be implemented in their professional environment and strengthen data-driven decision-making.