Trainers

Prof. Aleksander Astel

Specializes in the application of chemometric methods (factor analysis, supervised and unsupervised clustering, regression and receptor models) for exploring databases obtained from environmental monitoring, toxicological analyses, and microplastics detection in biotic and abiotic samples. In recent years, his interests have extended to feature detection and image processing for coordinate measuring machines using classical algorithms and neural networks. Collaborates with StatSoft since 2004. Delivers training in Chemometric Analysis in Statistica – Basic Course and Advanced Chemometric Analysis in Statistica. He has led scientific grants including “Optimization of Chemometric Techniques for the Exploration and Modeling of Chemical Pollution Monitoring Data,” “Hydroecological Conditions of Coastal Lake Ecosystems in the Southern Baltic,” and “Impact of Ecological Disaster-Induced Deforestation on the Spatial Differentiation and Chemical Changes in Spring and Surface Waters in the Silesian Beskids.” Author of nearly 100 publications indexed in Scopus. Professor at the Department of Environmental Chemistry and Toxicology, Pomeranian University in Słupsk, and data analysis engineer at Carl Zeiss IQS Software R&D Center.

Barbara Bidzińska

Graduate of the Warsaw University of Life Sciences and postgraduate studies in “Elements of Research Methodology in Medicine and Applications of Statistics in Biomedical Research” at the Medical University of Łódź. Since 2013, involved in the evaluation and consultancy of statistical aspects in clinical trials. Long-standing expert in biostatistics at the Office for Registration of Medicinal Products, Medical Devices, and Biocidal Products. From 2014 to 2018, served as a Polish delegate to the European Medicines Agency (EMA), participating in the Biostatistics Working Party (BSWP) and numerous assessments in the Committee for Medicinal Products for Human Use (CHMP) and the Scientific Advice Working Party (SAWP).

Prof Łukasz Binkowski

Łukasz J. Binkowski is a biologist focused on ecotoxicology and biomonitoring. He primarily investigates wetlands for various pollutants (especially heavy metals like lead and mercury), with particular emphasis on birds. The data he works with often includes results below the limit of detection. Earned his PhD in 2011 from the Institute of Environmental Sciences at Jagiellonian University. Currently leads the Ecotoxicology Team at the Institute of Biology and Earth Sciences at UKEN. He has been a fellow of the Fulbright Commission (USGS Patuxent Wildlife Research Center, MD, USA), SCIEX (University of Neuchâtel, Switzerland), the French Government (LIENSs, La Rochelle), and the Slovak Government (Slovak University of Agriculture, Nitra).Doktorat (2011 r.) obronił w Instytucie Nauk o Środowisku Uniwersytetu Jagiellońskiego w Krakowie. Pracuje w Instytucie Biologii i Nauk o Ziemi UKEN, gdzie kieruje Zespołem Ekotoksykologii. Był stypendystą Komisji Fulbrighta (USGS Patuxent Wildlife Research Center, Laurel, MD, USA), SCIEX (Université de Neuchâtel, Szwajcaria), Rządu Francuskiego (LIENSs LIttoral ENvironnement et Sociétés, La Rochelle, Francja) i Rządu Słowackiego (Slovenská poľnohospodárska univerzita, Nitra, Słowacja).

Tomasz Demski

He specializes in the application of data analysis in industry and machine learning. He has worked at StatSoft since 1995. He has participated in and led numerous projects on SPC implementation, process outcome prediction, and forecasting. He conducts the following trainings:
• Data Mining – Basic Course,
• Data Mining – Predictive Methods,
• Data Science in Python – Quick Start,
• Forecasting Using Machine Learning Methods in Python,
• Data Preparation for Analysis and Reporting,
• SPC – Control Charts and Process Capability Analysis,
• Statistica – A Quick Start (in English),
• Statistics and Machine Learning for Technologists and Process Engineers,
• Statistics in Quality – Basic Course,
• Machine Learning in Python – Quick Start,
• Anomaly Detection in Processes Using Machine Learning.
He has over 20 years of experience in data analysis training. In the past 3 years, he has conducted over 200 hours of courses.
Master’s degree, Jagiellonian University, Faculty of Mathematics and Physics; postgraduate studies in Data Engineering – Big Data, Warsaw School of Economics.

Associate Professor Oleg Gorbaniuk

Dr. habil., Professor at Maria Curie-Skłodowska University (UMCS), works in the Department of Social Psychology at the Institute of Psychology, UMCS in Lublin. He holds degrees in psychology (1996) and economics (1997). He earned a PhD in economics in 2001 and a PhD in psychology in 2002. In 2012, he received his habilitation in economic psychology.
He specializes in teaching methodology subjects (research methodology, statistics, and psychometrics). His research interests include methodology, psychometrics, individual differences, personality psychology, social psychology, and consumer behavior psychology.

Paweł Januszewski

Graduate of the Jagiellonian University, Faculty of Mathematics and Computer Science. He specializes in data analysis in medical research and multivariate optimization. He has worked at StatSoft since 2014 and has conducted numerous analyses including statistical modeling, sample size estimation, and time series forecasting.
He leads trainings on:
• Practical Applications of Regression Techniques in Statistica,
• Study Design and Analysis of Variance,
• Introduction to Power Analysis and Sample Size Estimation,
• Forecasting and Time Series Analysis,
• Statistical Methods in Clinical Trials – Data Analysis in Bioequivalence Studies.
He has 10 years of experience in training and has delivered about 300 hours of courses in the past 3 years.
Prowadzi szkolenia:
• Praktyczne zastosowania technik regresyjnych w Statistica
• Planowanie badań i analiza wariancji
• Wprowadzenie do analizy mocy testu i szacowania liczebności próby
• Prognozowanie i analiza szeregów czasowych
• Metody statystyczne w badaniach klinicznych – analiza danych w badaniach biorównoważności.
Ma 10-letnie doświadczenie w prowadzeniu szkoleń z analizy danych, w tym łącznie około 300 godzin w ciągu ostatnich 3 lat.

Konrad Kocoł

MSc Eng. in Applied Mathematics from Wrocław University of Science and Technology, specializing in Data Engineering. He has experience in anomaly detection, data segmentation, and building predictive models. He conducts courses on basic statistics using Statistica and R.

Katarzyna Kotarba, PhD

She specializes in multivariate data analysis, experimental design, image and signal processing, and applying machine learning and AI methods in medicine and industry. She has participated in projects on anomaly detection, process outcome prediction, process optimization, and 3D modeling.
She conducts training in:
• Statistica – Basic Course,
• Multivariate Analysis in Python.
She has teaching experience as a research and teaching assistant at the Department of Mechanics and Vibroacoustics, AGH University of Science and Technology, conducting lectures and labs in:
• Engineering Statistics,
• Statistics for Acousticians,
• Basics of Machine Learning in Acoustic Technologies.
Education:
• BSc and MSc in Biomedical Engineering (specializing in Biomechanics and Robotics), AGH University – graduated with distinction,
• PhD studies in Acoustics (Mechanical Engineering discipline), AGH University – graduated with distinction.

Prof. Mariusz Łapczyński

Researcher at the Cracow University of Economics, Department of Market Analysis and Marketing Research. He teaches courses on survey data analysis, marketing research, analytical CRM, exploratory data analysis, and e-commerce analytics.
He is a consultant and lecturer at StatSoft, as well as at the University of Agriculture in Krakow and the Warsaw School of Economics in the postgraduate program Business Intelligence – Decision Support Systems.
Author of publications on data mining and data science, including:
• Classification and Regression Trees in Marketing Research,
• Association and Sequence Analysis in Marketing Research,
• Hybrid Predictive Models in Relationship Marketing.

Prof. Dariusz Mańkowski

Professor at the Institute of Plant Breeding and Acclimatization (IHAR – PIB), Department of Applied Biology, Radzików.
Education:
• MSc Eng. in Agriculture,
• PhD in Agronomy,
• Habilitation in Agronomy with specialization in Biometry.
He specializes in agricultural experiment design, comprehensive analysis of experimental data (data science), and the methodology of empirical sciences.
Author/co-author of 54 scientific publications and 3 scientific monographs.

Grzegorz Migut, PhD

PhD from the Cracow University of Economics, College of Management and Quality Sciences. MSc in Economic Informatics.
He teaches in the postgraduate Business Intelligence program at the Warsaw School of Economics and the Biostatistics postgraduate program at the Medical University of Łódź.
With over 20 years of experience in data analytics and machine learning, he has led major analytical projects in finance and industry, as well as in medical and natural sciences.
Trainer at StatSoft Poland since 2006. Current courses include:
• Neural Networks,
• Logistic Regression in Medical and Natural Sciences,
• Multivariate Analysis in Python,
• Statistics in Medicine – Analysis of Qualitative Data,
• Classification Models in Science – Building, Interpreting, and Evaluating,
• Statistics in Scientific Research – Applications and Best Practices,
• Forecasting and Data Analysis in Energy.

Prof. Jacek Pietraszek

Head of the Department of Applied Computer Science, Faculty of Mechanical Engineering, Cracow University of Technology.
Graduate of the Cracow University of Technology in Technical Problems of Engineering, specializing in Applied Mechanics.
Professionally focused on data analysis, particularly experimental design (DOE), with applications in mechanical and materials engineering.
Trainer and consultant in DOE for both academia and industry.
Author of over 200 scientific publications, dozens indexed in Web of Science and SCOPUS.
Member of the Polish Association for Computational Mechanics, Polish Stereological Society, Polish Association of Mechanical Engineers and Technicians.
Member of the Polish Committee for Standardization (KT 10) on Statistical Methods.
Editor-in-Chief of Czasopismo Techniczne, statistical editor of Production Engineering Archives, member of the Scientific Board of Optimized Energy Potential in Construction.
Chair of the Editorial Board of Scientific Publications, Cracow University of Technology.

Prof. Adam Sagan

Full professor and Head of the Department of Market Analysis and Marketing Research at the Cracow University of Economics.
Author of publications on structural modeling, means-end theory, and consumer behavior modeling.

Marek Skowronek, PhD

Graduate of the Jagiellonian University with a Master’s in Physics and Mathematics, and a PhD in Molecular Biology.
Head of Quality Systems at StatSoft.
He has extensive experience in the pharmaceutical industry, having worked in quality/validation at TEVA for over 16 years.
Trainer and consultant in statistical methods used in process validation, product quality reviews, environmental monitoring, stability studies, analytical method validation, release profile comparison, experimental design, and implementation of QbD in drug manufacturing.

Prof. Andrzej Sokołowski

Professor at the Cracow University of Economics, Department of Statistics. Formerly worked at the Oncology Center in Krakow.
Visiting Assistant Professor at Bilkent University, Ankara (1990–1994).
Vice-Rector for International Cooperation (1999–2002) and Organization & Development (2012–2016) at the Cracow University of Economics.
Currently employed at Andrzej Frycz Modrzewski Krakow University.
Research interests: mathematical statistics, multivariate analysis, medical statistics, time series analysis, and statistical software.
Author/co-author of numerous books, book chapters, and journal articles in both Polish and English.

Andrzej Stanisz

Mathematician. Since 1980, works at the Department of Bioinformatics and Telemedicine, Jagiellonian University Medical College.
Specializes in the application of statistics and machine learning to medical data analysis.
Editor of Biostatistics (UJ Press, 2005).
Published 37 biostatistics tutorial articles in Medycyna Praktyczna, forming a mini textbook.
Author of a three-volume textbook Accessible Course in Statistics Using STATISTICA PL with Medical Examples — widely used in the medical field.
Conducts medical data analysis courses and workshops in collaboration with the Medical Centre for Postgraduate Education.
Taught biostatistics at the Military Medical Institute in Warsaw.
Member of the Polish National Group of the International Society for Clinical Biostatistics (ISCB).

Prof. Sławomir Śmiech

Works at the Department of Statistics, Cracow University of Economics.
Graduate in Mathematics from the Jagiellonian University.
His research focuses on energy economics and environmental policy, especially energy poverty, household CO₂ emissions, gas market integration, and the impact of oil price shocks on exporting economies.
Uses multivariate statistics and econometrics in his work.
Member of the Polish Statistical Association (PTS), Section on Classification and Data Analysis (SKAD), Polish Academy of Sciences (PAN), and Polish Academy of Arts and Sciences (PAU).

Janusz Wątroba, PhD

Graduate of the Cracow University of Economics (Econometrics and Statistics) and the University of Physical Education in Krakow.
One of the original members of StatSoft Poland, currently Director of Education and Academic Cooperation.
Has conducted nearly 1,000 training sessions on statistical data analysis across disciplines.
Organizer of the Statistical Methods and Data Mining in Scientific Research conference series and the Best Thesis Award organized by StatSoft Poland.
Creator, lead expert, and main instructor in the postgraduate program Elements of Empirical Research Methodology and Application of Statistics in Biomedical Research, run jointly with the Medical University of Łódź (7 editions so far).

Anna Wilk

MSc, AGH University of Science and Technology in Krakow, Faculty of Applied Mathematics.
Specializes in multivariate analysis, machine learning, and the application of data analysis in business and the pharmaceutical industry.
With StatSoft since 2016, participated in and led projects on process prediction and optimization, forecasting, segmentation, and anomaly detection.
Courses led:
• Statistica – Basic Course,
• Multivariate Analysis,
• Data Mining – Unsupervised Methods,
• Statistics in Business – Practical Tools and Techniques,
• Intro to Data Analysis in R,
• Intro to Data Visualization in R with ggplot2,
• Multivariate Analysis in R.
She has 7 years of experience in training, with over 600 hours of courses delivered in the past 3 years.

Katarzyna Wójcik

Assistant at the Department of Computational Systems, Cracow University of Economics.
Graduate in Informatics and Econometrics.
Her research focuses on exploratory data analysis (especially textual), automated consumer opinion analysis, and automated competence analysis.
Author of over 30 publications.
Teaches subjects including introductory IT, web programming, data modeling, advanced spreadsheet functions for data analysis, and natural language processing.
Member of the Classification and Data Analysis Section of the Polish Statistical Association.

Mateusz Żołneczko

Data analysis and programming specialist (Python, C#, VB). With StatSoft Poland since 2016.
He works on analytical projects, develops statistical modules, and provides technical support for StatSoft products.
Trainer in:
• Statistica Basics,
• Data Mining – Unsupervised Methods,
• Data Visualization,
• Introduction to AI Tools.
He has experience in implementing and validating industrial applications (process validation, product quality review), customer segmentation, automated reporting, and database management.
MSc in Informatics and Econometrics, Cracow University of Economics.