Quantitative Analysis

Apply, analyse, interpret and appreciate the relevance.

This is an in-person course held at MRS Office, London.

We are surrounded by data, but the skill is in extracting meaning out of this data and creatively turning it into insight that can help to solve business problems. No one wants a massive sea of figures; they want clear insight that points them in the right direction. But at the start of any project, this can seem a formidable task.

Level
Intermediate

Who will benefit from this course?

The course will benefits researchers, buyers and users of research who have basic experience of the issues involved in dealing with quantitative analysis. The course is broad ranging and covers a spectrum of elements that need to be considered with any analysis project. This included the core principles behind the structure of quantitative analysis, how to interpret the data with confidence and the identification of opportunities to run advanced analysis techniques.

Aims and objectives
Every research project and every piece of survey analysis is different; there are so many different nuances it is impossible to set hard rules on how each analysis should be undertaken. Instead this course aims to provide the confidence and framework for considering how you approach quantitative analysis. We provide a structure and the stages to consider in the design of analysis and, based on our experience in the industry, flag-up some of the pitfalls that can happen.

The course is a mix of theory and experience based learning, with practical examples and tasks throughout the day.

Learning outcomes
By the end of the course, delegates should have the confidence to know:

• How to structure survey analysis to help draw out relevant insight which, in turn, will allow them to spend more time on the actual creation and presentation of the story
• How to pre-plan to help turn large amounts of survey data into material for decision making, and how to focus on the main story
• The basics of statistical confidence in data (NB: this is not a statistics course)
• Options for analysing survey data and the ability to identify where more sophisticated advanced analysis could be of value
• Options for presenting data