WORKSHOP 2: INTERMEDIATE ANALYTICS

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This two-day workshop will enable delegates to undertake analyses that seek to establish relations between variables, using ANOVA and/or multiple linear regression. These are essential building blocks to understand the incredibly powerful and useful optimization technique of “design of experiments” (DOE). 

Introducing delegates to: 

• analysis of variance (ANOVA), and provide a good understanding of the two most commonly used types of ANOVA 
• multiple linear regression and the techniques of stepwise regression 
• design of experiments (DOE), and demonstrate the incredible power of structured experiments for efficient process optimisation 

Delegates will leave the workshop with an excellent understanding of theory and practice of Intermediate Analytics Techniques used in industry to describe, analyse, model and optimise operational processes. DOE is used extensively in process optimisation methodologies (e.g. 6σ DMAIC) to enable the rapid and efficient attainment of optimal settings for processes, in order to deliver on-target outputs. Once you understand DOE, you will never look back, and the road to optimally tuned processes will be that much smoother.