Master Class Data Science and AI for Business

Start date: February 8, 2024

• 8 - 9 February 2024
• 7 - 8 March 2024

Thursdays: 14h00-22h00

Fridays: 09h00-17h00

The program consists of 4 chapters, all addressing specific topics. In each chapter, models and concepts are explained and illustrated through cases and exercises. All in-class sessions will be highly interactive, with a lot of focus on sharing experiences and challenging ideas.

Part 1: Data Science Applications in Business

• Introduction to data science and Artificial Intelligence
• Applications in marketing, HR, finance, risk and marketing
• The concepts of overfitting and learning

Part 2: Data Science technologies

• Building predictive models from data using decision trees
• How to evaluate a data science model: from accuracy to profit curves
• Recommender systems
  

Part 3: Hands-on session using data

• Building models using open source tools (Weka, Python)
• Visualizing data and evaluating models
  

Part 4: Recent trends

• The importance of ethical data science for business: concepts and cautionary tales
• Deep learning as a game changer in image and speech recognition
• Potential pitfalls in data science projects
• The future of data science in business

After attending this program:

• You are able to develop a data science strategy in alignment with your business strategy;
• You understand the performance impact of data science-enabled initiatives;
• You can identify and communicate the company’s data science related business value opportunities and risks;
• You have gained a comprehensive overview and understanding of data science concepts, techniques and applications in a variety of business domains;
• You can identify potential ethical concerns when applying data science in business.

Our experienced faculty will coach and assist you during this program. All of them have an academic career (master, PhD or DBA) and international experience in terms of career, research, project management, advisory boards and/or consulting. Many of them have published about their practice-based research, business cases and management experiences. Our faculty are experts in executive education, tailor-made programs and business consultancy.