Program Overview

Introduction to AI-Powered Business Intelligence

The AI-Powered Business Intelligence program is a postgraduate course that combines key issues from the field of data analysis, modern commercial tools, Data Science, business communication, and the practical and theoretical foundations of artificial intelligence.

Objective of the Studies

The objective of the AI-Powered Business Intelligence studies is to build competencies in the use of business analytics techniques and tools, effective communication and presentation of results and analyses, and decision-making based on knowledge gained from the analysis of business processes and data.

What You Will Learn

After completing the course, your competencies will be enriched with the ability to:

• Use selected commercial tools for data visualization and business analytics.
• Program in Python, including data processing, analysis, and visualization.
• Use large language models (LLMs) to generate code.
• Understand the basics of data exploration, artificial intelligence, and machine learning.
• Apply data storytelling and presentation techniques.
• Design and implement a practical business analytics project.
• Understand the basics of machine learning and artificial intelligence.

Technologies and Tools

The course covers a range of technologies and tools, including:

• Python and its applications in data analysis and visualization
• JupyterHub and Google Colab
• Pandas, NumPy, Matplotlib, and Seaborn libraries
• Tableau and Microsoft Power BI for data visualization and business analytics
• Alteryx for data engineering and preparation

Program Structure

The AI-Powered Business Intelligence program consists of 196 hours of classes, mostly in the form of workshops, conducted over two semesters. The program includes:

• Programming in Python
• Advanced data preparation for business analysis
• Data analysis methods: data exploration and artificial intelligence
• Data visualization in business (Power BI + Tableau)
• Data engineering
• Introduction to data visualization
• Techniques for effective communication of results
• Case study
• Seminar

Faculty

The program is taught by experienced professionals and academics, including:

• Piotr Adamczyk
• ukasz Chystowski
• Pawe Ekk-Cierniakowski
• Hubert Kobierzewski
• Marcin Luckner
• Mateusz Majak
• Micha Maliszewski
• Patryk Palej
• Grzegorz Protaziuk
• Piotr Reszka
• Pawe Rosikiewicz
• Paulina Sanak-Listwan
• Sebastian Wareluk

Advisory Board

The program's advisory board includes experts from academia and industry, ensuring the curriculum remains current and relevant. Members include:

• Jarosaw Chudziak
• Dr. hab. in. Piotr Gawrysiak
• Dr. in. ukasz Kobyliski
• Dr. in. Jakub Koperwas
• Mgr in. Rajmund Kouszek
• Dr. Radosaw Lipiski
• Dr. in. Piotr Macig
• Prof. dr hab. in. Mieczysaw Muraszkiewicz
• Dr. in. Jakub Nowacki
• Andrzej Olkiewicz
• Grzegorz Ostrowski
• Robert Stanikowski
• Pawe Wróblewski

Partners

The program partners with various organizations to ensure the curriculum meets industry needs and provides students with practical experience and networking opportunities.