Data-Driven Excellence

Cena: 18 500 Kč
Místo konání: Brno

5-Day Applied Statistics Program for Research and Industry

 

Do you want to gain advanced data analysis skills and improve your business processes? Do you need to work with statistical methods in your research or teaching?

Sign up for Data-Driven Excellence, this intensive course is designed for academics and employees of industrial companies who are involved in research, production, quality, digitization and data processing.

 

The training will take place on 26–30 January 2026 in Brno at the Faculty of Mechanical Engineering, Brno University of Technology.

The programme will also be offered in Czech at the end of August.

 

Kategorie:

Popis

5-Day Applied Statistics Program for Research and Industry

 

The programme Data-Driven Excellence is based directly on the lecturers‘ experience of research and teaching at universities. It also draws inspiration from everyday experiences with the Six Sigma methodology for process improvement in practice.

 

We will introduce you to the basics of statistics and working in the Minitab statistical program. You will learn how to perform Measurement System Analysis (MSA). We will explain what a stable process means and how to use linear regression. We will see how statistical tests work for data-driven decision making and how to apply them to your data. Design of Experiment (DoE) will greatly speed up and refine the processing of your experimental results, including their interpretation and presentation.

 

The programme Data-Driven Excellence is held in cooperation with 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 statistical software 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

Included in the price

  • a total of 40 hours of tutoring, exercises and discussions
  • training materials – study materials and Minitab manual
  • the possibility of renting a laptop with Minitab statistical software
  • certificate of completion of Data-Driven Excellence course
  • all-day refreshments and lunch

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