Be it in bioscience or business, if you want to use data to help guide a given enterprise, you need to understand statistics and experimental design. The Statistics and Experimental Design for Bioscientists course that helps you engage with that data. It will explain the major principles and techniques of statistical analysis ofdata without becoming too involved in the underlying mathematics.
Now that computer software is very well established for data analysis, it is more important to understand WHAT a statistical test is doing (and thus whether or not it is appropriate) than to be able to perform the underlying calculations by hand. It is equally important to collect data in an appropriate and planned manner for later analysis.
Part of studying statistics is using data to develop hypotheses that can be tested with experiements, which managers can use to develop a plan a course of action from or with data. These techniques would be helpful for those working with an around management. Because of this, the Statistics and Experimental Design for Bioscientists course would be suitable for people who works in or around management looking for postgraduate study.
At the end of the course, participants should have an overall grasp of the major analytical techniques available, and how they relate to each other, and have developed abilities in experimental design, data analysis using appropriate software and presentation of results.
You will gain knowledge and understanding of:
By the end of this course you will be able to:
Areas covered on this course will include:
AgriFood Training Partnership
The University of Reading
PO Box 226, Whiteknights
Reading RG6 6AP