Training General Statistics
- Technical statistics
Methods for the analysis of product and process data are explained, e.g. analysis of variance (ANOVA), regression analysis, statistical process control. - Biostatistics
independent and matched pairs samples, parametric and nonparametric methods, dose response curve, case control studies - Sociometrics
analysis of contingency tables (difference hypothesis, correlation hypothesis), analysis of questionaire response data, discriminant analysis and logistic regression - Your course
You define the contents of the course and our highly specialised trainer delivers it.
Training General
Statistics
This course is focussed on the basic statistical concepts and measures. First we Introduce the idea of statistical thinking before we procede to descriptive statistics. Dazu gehören Lagemaße, Streuungsmaße, Formmaße, Verteilungen und typische grafische Darstellungsformen der explorativen Datenanalyse, wie z.B. Histogramme und Box-Plots. Anschließend beginnen wir mit Themen der schließenden Statistik. Ausgehend vom fundamentalen Konzept des Hypothesentests behandeln wir Mittelwertvergleiche, Korrelationsanalysen und lineare Regressionsmodelle. Wir passen diesen Kurs in Länge und Schwerpunkt Ihren Vorkenntnissen und Bedürfnissen an.
Objectives:
- control the key data mean, standard deviation, median, ....
- understand bar charts and boxplots
- you are able to adopt t-tests, interpret them and check the prerequisites
- understand and adopt analysises of correlation
- adopt simple linear regression
Prerequisites:
Basic knowledge of statistics helps, but is not required. If necessary they will be covered in the course.
| Type of training | date | location | price | duration | languages |
|---|---|---|---|---|---|
| Open weekend seminar |
04.15. - 04.16.13 06.17. - 06.18.13 10.24. - 10.25.13 12.04. - 12.05.13 |
N.-Hesse Bonn Berlin München |
980,- net per person | 2 days | german or english |
| Open weekend seminar |
03.16. - 03.17.13 09.07. - 09.08.13 11.23. - 11.24.13 |
N.-Hesse |
980,- net per person | 2 days | german or english |
| Inhouse | on appointment | at your location | on inquiry | 2 days | german, english |
| Interested in this course ? Please contact us ! |
phone: +49 (0)5542 - 93300 email: vertrieb@statcon.de |
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Biometrics, Statistics for Life Science
This course is intended to provide a sound bases for the evaluation and analysis of biological and medical data. All methods are explained along pracitcal examples, allowing the participants to understand the background. The course is to be expressly understood as non mathematical thus not focusing on formula. This course emphasizes the understanding as well as the steps and procedures of proper statistical analysis.
Contents:
- Descriptive Statistics
- Statistical graphics, What's a good graphics? Bar charts, error bars, and dose-response curves
- Statistical testing, posing and testing hypotheses, a simple t-test
- Designing experiments, the DoE Method, repeated measures
- Other tests, ANOVA (analysis of variance), paired t-test, Wilcoxen Rank Sum test, etc.
- Survival analysis, Keplan-Meier curves and Cox model
- Regression analysis:
- Regression including linear transformations
- Non-linear regression, including dose-response curves
Prerequisites:
None.
| Type of training | Date | location | price | duration | languages |
|---|---|---|---|---|---|
| Open |
03.04. - 05.04.13 03.06. - 05.06.13 14.10. - 16.10.13 |
Frankfurt Nordhessen Nordhessen |
1470,- net per person | 3 days | german, english |
| Inhouse | on appointment |
at your location |
on inquiry | 3 days | german, english |
| Interested in this course ? Please contact us ! |
phone: +49 (0)5542 - 93300 email: vertrieb@statcon.de |
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Datamining: Applications and Methods
With growing amounts of data we need new methods for data analysis.
This class gives an overview over the most important datamining-methods.
Unsupervised learning methods try to find structures in your data without an explicit response variable.
Typical unsupervised methods are principal component- and cluster-analysis.
The main topic in this class are prediction models. This includes logistic regression,
decision trees and neural networks. The class concludes with the general idea of ensemble-prediction-models.
Contents:
- Uses cases in data mining
- Clustering (KMEANS, Hierarchical clustering)
- Principal component analysis (PCA)
- Prediction modeling (logistic regression, decision trees, neural networks)
- Concept of ensemble-models
Requirements:
none.
| Typ of training | date | location | price | duration | languages |
|---|---|---|---|---|---|
| Open |
02.07. - 02.08.13 04.22. - 04.23.13 06.17. - 06.18.13 10.21. - 10.22.13 12.02. - 12.03.13 |
Nordhessen Munich Nordhessen Munich Nordhessen |
980,- net per person | 2 days | german, english |
| Offen (weekend-seminar) |
06.15. - 06.16.13 09.28. - 09.29.13 10.26. - 10.27.13 |
on inquiry | 980,- net per person | 2 days | german, english (respectively weekend-seminar) |
| Inhouse | on appointment |
at your location |
on inquiry | 3 days | german, english |
| Interested in this course ? Please contact us ! |
phone: +49 (0)5542 - 93300 Email: vertrieb@statcon.de |
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