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
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.