Data Science and AI for Business
This Master Class will provide participants with a thorough understanding of the key technical aspects of big data applications and data analytics. In addition, the program will illustrate ample business
and management applications offering participants insights and experience on how to set these data to work and how to create business value, i.e. improve profitability and increase revenues.
Practical information:
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- Prerequisites: higher education degree and several years of relevant working experience. en enkele jaren werkervaring. Specific prior knowledge in IT is not required.
- Price: €7200 (excl. VAT)
Thursdays: 14h00-22h00, incl. dinner.
Fridays: 09h00-17h00, incl. lunch.
Curriculum
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
Learning objectives
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.