Experimental research and development is no longer conceivable without the use of computer assisted statistical methods. Applied statistics are needed during experimental design, the modeling and analysis of experiments and the evaluation and critical interpretation of experimental results.
This basic course introduces you to statistical modeling step by step. While analyzing real data, you will become familiar with the appropriate application of statistical methods.
- You learn the basic methods and approaches used in applied statistics.
- You learn which problem-solving tools have been successfully used in contract projects by the Institute of Statistics.
- You gain insight into the ways applied statisticians work.
- You learn the basics of statistics programme package R (open source) und and use it to analyze data.
The basic course includes 6 modules:
- Module 1: System-Compatible Problem Analysis and Data Acquisition
- Module 2: Explorative Data Analysis – from Data to Model
- Module 3: Inferential Statistics – from the Sample to the Population
- Module 4: Regression Analysis
- Module 5: Experimental Design
- Module 6: Practical Case Studies – Predictive Models for Particulate Matter (PM10) in Downtown Graz
Upon request, the course content can be customized to fit the needs of your company.
Target Groups and Admission Requirements
Company employees who are working in the areas of product development and the process industry.
Course participants are expected to hold a college or university degree, or are minimally assumed to have a basic knowledge of statistics.