Statistical Methods Summer School – online

Cena: 18 500 Kč
Místo konání: online

Would you like to develop advanced data analysis skills and enhance your business processes? Do you need to work with statistical methods in your research or teaching?

 

Sign up for the Statistical Methods Summer School! This intensive course is designed for academics and industrial company employees involved in research, production, quality, digitisation, and data processing.

 

The training will take place from 24 to 28 August 2026.

 

There will also be a Czech and a in-person version of the programme.

 

Kategorie:

Popis

Five-Day Applied Statistics Programme for Research and Industry

 

The Statistical Methods Summer School draws on the lecturers’ extensive experience in academic research and university teaching. It also draws on practical insights from the application of the Six Sigma methodology to real-world process improvement.

 

Throughout the programme, you will develop a strong understanding of statistical methods and gain hands-on experience with the Minitab Solution Centre. You will learn how to perform Measurement System Analysis (MSA), understand what defines a stable process and apply linear regression techniques in practice.

 

The course will guide you through statistical hypothesis testing for data-driven decision-making, equipping you with the skills to analyse and interpret your own data with confidence. You will also explore Design of Experiments (DoE), a powerful approach that can significantly accelerate and improve the efficiency of your experimental workflows, as well as the clarity of your results and how you present them.

 

This programme is designed for PhD students, researchers and industry professionals who work with data and wish to enhance their analytical abilities and decision-making skills.

 

The Statistical Methods Summer School is organised in cooperation with the Brno University of Technology.

Course Overview

You will attend five days of eight hours each, for a total of 40 hours of training in the presence of an experienced trainer. The course uses Minitab Solution Center and combines the necessary theory with practical examples, simulations and discussions. Thanks to simulation games, you will learn to apply the methods immediately in practice.

Course Schedule

Day 1: Preparation for Statistical Analysis

  • Introduction and first steps

  • Data preparation for analysis

  • Graphical data representation and common pitfalls

  • Basic statistical characteristics and their applications

  • Confidence intervals for numerical characteristics

Day 2: Hypothesis Testing

  • Introduction to hypothesis testing

  • Testing data normality

  • p-value–based tests

  • Chi-square test of independence

  • t-tests and other hypothesis tests

  • Nonparametric tests

  • Statistical power and sample size determination

  • Analysis of variance (ANOVA)

Day 3: Measurement System Analysis and Process Stability

  • Measurement System Analysis (MSA), Gage R&R

  • Process stability and Statistical Process Control (SPC)

  • Control charts

  • Introduction to regression analysis

  • Linear regression

Day 4: Regression Models and Design of Experiments (DoE)

  • Multiple regression analysis

  • Logistic regression

  • Nonlinear regression

  • Design of Experiments (DoE) methodology

  • Full factorial design

Day 5: Advanced Design of Experiments (DoE) Techniques

  • Reducing the number of measurements using fractional factorial designs

  • Optimization methods

  • Response surface methodology (RSM)

  • Mixture designs

For whom

  • academics and researchers
  • PhD students
  • employees of industrial companies involved in research,
  • production, quality and digitization
  • anyone interested in working with data

The price includes

  • a total of 40 hours of tutoring, exercises and discussions
  • training materials – study materials and Minitab manual
  • the ability to download the Minitab Solution Center trial software for free for 14 days
  • certificate of completion of the Statistical Methods Summer School course

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