Concentrated and highly topical knowledge is available to you in my seminars, courses and live online training. Besides the basics of statistics and multivariate methods, you can also learn the statistical methods of quality management and... sophisticated multilevel and structural equation modeling. You will benefit from my diverse and broad experience in all aspects of statistical planning, control of confounding effects and data analysis in the economic and social statistical application areas (business psychology, market research and marketing), in production (process optimization and quality assurance), in administration, in banking and insurance, and in medical and pharmaceutical research.
Seminar Fundamentals of Statistics with RSeminar Fundamentals of Statistics with PythonSeminar Fundamentals of Statistics with SPSSSeminar Multivariate Data Analysis with RSeminar Multivariate Data Analysis with PythonSeminar Multivariate Data Analysis with SPSSSeminar Quality Management with MinitabSeminar Regression and Multilevel Analysis with R/MplusSeminar Structural Equation Modeling with R/MplusSeminar Rasch Models with R
The extensive subject matter was taught clearly and efficiently in the time available.
The basics are covered using clear examples that can easily be transferred to one's own applications.
Helpful literature was mentioned for further deepening and the mathematical background.
We had 5 days of training that were very well structured from front to back and always consisted of a top mix of theory part and practical application with the corresponding Python libraries. This simplifies the transfer to your own application areas and makes you look forward to implementing what you have learned.
The information content in the 5 days of training is very high. Due to the very well compiled documentation for the training, however, a follow-up of the learned content is easily possible.
The course "Fundamentals of Statistics" was very intensive, well structured and could really convey the basics very well. As a "newcomer" in R, I was able to quickly get into the topic, because Dr. Leuschner conveys the content in detail and understandably. The course helped me to get started so that I can now do smaller analyses on my own. Thumbs up!
A very competent referent, excitingly introduces the world of statistics, skillfully reveals the possibilities of Minitab, communicates professionally with the audience. This was confirmed by the high activity of the seminar participants. In my personal opinion and according to my level of training, such a big topic should be taught for at least 2 weeks. Special request: I would like to receive several examples of the application of statistical methods for the analysis of biological data, how to analyze a kinetic study, examples of non-parametric analysis in biology, methods of normalization of non-parametric data, methods of analysis of long-term monitoring data (what is the importance of sample size, type of data distribution) ; as well as how to minimize the size of the statistical sample in the case of expensive studies, so that the analysis remains correct.
The seminar, which was once again very intensive (and sometimes also exhausting), conveyed a broad and deep insight into the subject matter with its high material density and the many illustrative exercises. The design of the seminar with the extensive and very understandable documents by Dr. Leuschner was very well done. It was again extremely interesting and I was able to take away a lot. Any time again -- thank you very much!
The topics were very well taught, Mr. Leuschner also addresses individual questions and helps to find solutions to problems.
The course was very informative and instructive. For the Minitab training I would recommend the extended course with 4 days.
All facets of Minitab are covered comprehensively. The application and explanation of the individual functions are oriented to real-life use cases and contribute to an overall picture of statistical analysis in a business context.
The knowledge acquired is tested in a wide variety of use cases and the interpretation of the analysis results is discussed in detail. The course is definitely to be recommended.
All reviews and experiences about Dr. Haug Leuschner are the subjective opinions of those who compose and submit them | The profile owner is responsible for the contents of this page |
Profile active since 27/11/2016 | Last update: 03/07/2023
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