Postgraduation Business Strategies with Data Science

Enhance your decisions with data. Unlock the power of data and transform your company’s decisions with the power of data science! Uncover valuable insights, drive strategic innovation, lead with purpose, and shape the future of your company with the Postgraduation Program in Business Strategies with Data Science.

Next Date
2025
Length
6 months
Format
B-learning
After work
Investment
4.100 €

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Overview

The Postgraduation Business Strategies with Data Science program, offered by the prestigious NOVA School of Science and Technology, it is designed to empower professionals to integrate business strategies with data science, without the need for advanced programming knowledge, specifically:

-Integration of Data and Business Strategies

-Hands-On with Real Projects

-Mastery of Descriptive Statistics

-Data Visualization Skills

-Advanced Data Analysis Techniques

-Machine Learning for Business

This course is ideal for managers, data analysts, marketing and sales professionals, entrepreneurs, consultants, and public sector employees who wish to use data science to efficiently drive their business strategies without the need for programming.

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Course content

The course begins with a module on the fundamentals of project design, providing a solid foundation for executing data science projects. We will cover project structuring, objective definition, methodology, and project management tools.

We work on Descriptive and Inferential Statistics, Advanced Data Analysis, Machine Learning for Business, and Business Strategy and Data Integration.

Finally, the final course project, which helps structure the program, runs throughout the course. It aims to put acquired knowledge into practice and stimulate teamwork.

Learning outcomes

Equip students with the knowledge to integrate business strategies
Design and execute projects aligned with business goals
Provide a solid foundation in descriptive and inferential statistics to interpret business data
Develop skills in data visualization
Apply models to solve real-world business problems

Participant Profile

This course provides the tools and knowledge necessary to leverage the power of data science for strategic decision-making, making it suitable for those looking to:

Improve their data literacy and analytical skills without the need to write code
Integrate data-driven approaches into their business strategies and operations
Understand and apply data science techniques to real-world business challenges

The course is especially relevant for:

Professionals in management roles
Students aiming to enter the field of data analysis or data science
Marketing, sales, and customer management professionals
Entrepreneurs and business owners
Consultants
HR professionals
Public and social sector employees

Program Coordination

Isabel Gomes

Associate Professor, NOVA FCT

Isabel Gomes is an Associate Professor in the Department of Mathematics at NOVA School of Science and Technology (NOVA FCT) and a researcher at the NOVA Math research center at NOVA FCT.

Her research focuses on linear optimization modeling and metaheuristics. She has developed optimization models to solve practical problems in logistics management, such as waste collection routing, supply chain planning and design, facility location, and social care logistics.

She holds a Ph.D. in Engineering and Industrial Management from the Technical University of Lisbon, where she addressed the design and planning of closed-loop supply chains. She has been involved in various educational programs at NOVA FCT, from undergraduate to doctoral studies, and is the former coordinator of the Master’s in Mathematics and Applications at NOVA FCT.

Diogo Ribeiro Santos

Senior Teaching Fellow in Finance at AESE Business School

Diogo Ribeiro Santos is an academic and consultant with extensive experience in finance, management, and data science. He is currently an Assistant Professor at Universidade Europeia, where he teaches Statistics, Market Research, Forecasting Methods, and Data Analysis. He holds a Ph.D. in Management from Universidade Europeia and is pursuing a Ph.D. in Information Sciences and Technologies at ISCTE-IUL. Additionally, he completed a postgraduate degree in Enterprise Data Science and Analytics at Nova IMS.

He is a Senior Teaching Fellow in Finance at AESE Business School and has held positions such as Senior Partner and Financial Director at Insight Venture – Sociedade de Capital de Risco, CEO of Sixt Rent-a-Car Portugal, CFO of Navalrocha, SA, and Vice-President of the Portuguese Institute for Development Support. His experience includes company valuation, mergers and acquisitions, capital raising, and corporate restructuring.

His current research interests include natural language processing, applications of generative artificial intelligence, and the use of large language models in a business context.