• Technical Statistics
Methods for the analysis of production and process data, analysis of variance and regression analysis, Statistical Process Control
• Biostatistics
Related and unrelated samples, parametric and non-parametric methods, dose-response analyzes, controlled trials
• Sociological Statistics
Contingency table statistics (difference hypotheses, related hypotheses), analysis of questionnaires, discriminant analysis and logistic regression

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### Analyzing Life Science data using XLStat

This Course will work along practical examples using XLSTAT, so that trainees are able to understand the basic principles of the statistical procedures.

### Analyzing Process Data for Engineers

This two-day-course is an introduction to statistical data analysis for technical and scientific data. It gives you all the tools to start analysing and understanding your data!

### Analyzing Timeseries using XLStat

This single day course will help you analyze chances and risks of events or decisions in the future.

### Biometrics - Statistics for Life Science

This three-day-training covers the most relevant statistical methods for data analysis in life science. No matter if you need to do descriptive statistics, mean-comparisons or survival analysis: This is the right training!

### Creating and Analyse Questionaires

This three-day-training gives you the right tools to set up good questionaires that will result in good data! Don't miss the chance to get the best possible data to make the statistical analysis as easy as possible!

### Design of Experiments for Six Sigma

This two-day training gives you all you need to apply the methods of Design of Experiments (DoE) to your Six-Sigma-Problems. Make sure to get robust processes with minimal experimental effort!

### Excel - Measurment-Systems Analysis

The various concepts of Measurement-Systems Analysis will be presented and worked through in pracitcal examples using Excel.

### Introduction to design and analysis of experiments using XLStat

You learn how to effectively and efficiently organize experiments. You will also learn how XLSTAT works and how it helps designing and analyzing experiments.

### Introduction to Design of Experiments

This two-day-training covers the basic concepts of Design of Experiments (DoE). As part of the training students will learn how to set up and analyse screening- and RSM-designs.

### Introduction to Time Series Analysis

Learn how to model your time series data in just one day! Evaluate and interpret time series models and use them to generate reliable forecasts.

### Quality by Design

This three-day training introduces the concepts of Quality by Design (QbD) and Design of Experiments (DoE). Learn now how to apply QbD for your pharmazeutical applications to benefit from the whole flexibility granted by approved design spaces!

### Six Sigma - Black Belt

You become an expert for methods, statistics and project management when you qualify as Six Sigma Black Belt. You will plan, lead, run as well as overlook several six sigma projects.

### Six Sigma - Green Belt

Six Sigma Green belts can use the methods economically as well as in form and content. You are responsible for complex Six Sigma projects.

### Six Sigma - Yellow Belt

Yellow Belts can run small Six Sigma projects and thus contribute to a solution.

### Training - Data Mining

This three-day-training covers the basic applications and methods of Data Mining. Special focus lies on prediction models.

### Training - General Statistics

This two-days long course is focussed on the basic statistical concepts and measures.