MBC - STATISTICS FOR CONSULTING

At the end of the course, the student should be able to :
- Breakdown a complex problem into smaller parts, especially when the problem is non trivial
- Formulate appropriate solution to solve each part of the conmplex problem: being able to select the relevant tools, select the right data, avoid mispresentation…
- Cross check data, identify outliers and solve missing data problems
- Collect relevant data using surveys and sampling methods
- Understand the importance of wording and variable description
- Propose creative solutions given the understanding of the data
- Master basic tools: correlation, box plot, distributions, payoff tables…
- Select the relevant method: Baye's analysis, confidence intervals, parametric and non parametric tests… and be able to check assumptions (normality…)
- Master expect knowledge tools and understand the new trends in analysis
- Analyze numerical and especially categorical data
- Demonstrate expertise in advanced tools and methods: SPC/SQC, Acceptance Sampling, Capability, Control charts, Decision Rules
- Link statistics with management methods and quality tools such as the six-Sigma
- Formulate, model and solve optimization problems
- Be open to new developments in their field of competence and be a reference point for those developments.
- Master a professional software