The “Data Science Applied for Business” course is an intensive 120-hour training program designed for professionals who want to apply data science in business contexts. It is aimed at analysts, managers, executives, and IT students, offering a practical and up-to-date approach to data manipulation and exploration, machine learning fundamentals, big data, artificial intelligence, and data science project management. The training is delivered in a blended learning format, combining theoretical and practical sessions led by certified and recognized instructors in the field. Throughout the modules, participants develop skills to understand the data lifecycle, apply analytical techniques, and implement AI and data science solutions that generate real business impact.

The teaching methodology prioritizes active methods — such as case studies, group dynamics, and practical exercises — ensuring engaging and applicable learning. The course follows DGERT standards, with diagnostic, formative, and summative assessments accompanying the entire learning process. Trainees have access to digital support documentation and appropriate resources, including equipped classrooms, internet access, and complete teaching materials. The training culminates in a final project (Capstone), where participants apply the acquired knowledge to solve a real business challenge, consolidating technical and strategic skills that prepare them to lead Data Science initiatives in their organizations.

• Data Manipulation and Exploitation
• Fundamentals of Machine Learning
• Applying Machine Learning to Business
• Big Data and Advanced Analytics
• Artificial Intelligence in Business
• Data Science Project Strategies and Management
• Ethics, Privacy and Data Regulations

Business professionals, managers and executives, data analysts, students, and IT professionals.

Prerequisites

• Basic knowledge of statistics and mathematics.
• Basic Programming Concepts
• Interest in Business and Data Analysis

Fundamentals of Data Science for Business
10 hours – 1 ECTS

Data Manipulation and Exploration
20 hours – 4 ECTS

Fundamentals of Machine Learning
20 horas – 4 ECTS

Big Data and Advanced Analysis
14 horas – 3 ECTS

Artificial Intelligence in Business
14 horas – 3 ECTS

Strategies and Management of Data Science Projects
12 horas – 3 ECTS

Ethics, Privacy and Data Regulations
10 horas – 1 ECTS

Capstone Project
20 horas – 6 ECTS

João Curado Silva
Jorge Ferreira
Paulo Duque
Ricardo Ferreira