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New Analytics Course for 2006

A new course "Practical Analytics" will be introduced in the Spring that will provide key statistical and analytical tools for credit industry managers without being overly 'statsy'.

Murray Bailey, head of Windsor CME and course leader said "Our research has shown that some people are put off our stats course because it is too statistical. Whilst the feedback is good, there is a need for a course that provides some tools that can be used in the credit industry - more focus on practical benefit than providing a foundation in statistics."

The new course will be 2-day and have 10 modules, each of which will focus on an analytical tool used across the consumer credit industry. As always with The Credit Academy courses, there will be a business game that reinforces the messages and lets the delegates practice the analytics.

The skills provided will be:

Analysing trade-offs and finding break-even points

Identifying bias in discrete data

Making predictions of outcomes with confidence

Designing tests and determining sample size

Evaluating small sample results

Using and understanding regression

Identifying significant variations in results

Finding the impact of components

Murray said "The new course should appeal to all disciplines. The examples will be from Marketing, Risk, Fraud, Operations and Collections - all areas of our businesses that require analytics to enable better decisions to be made."

	New Analytics Course for 2006 A new course "Practical Analytics" will be introduced in the Spring that will provide key statistical and analytical tools for credit industry managers without being overly 'statsy'. Murray Bailey, head of Windsor CME and course leader said "Our research has shown that some people are put off our stats course because it is too statistical. Whilst the feedback is good, there is a need for a course that provides some tools that can be used in the credit industry - more focus on practical benefit than providing a foundation in statistics." The new course will be 2-day and have 10 modules, each of which will focus on an analytical tool used across the consumer credit industry. As always with The Credit Academy courses, there will be a business game that reinforces the messages and lets the delegates practice the analytics. The skills provided will be: Analysing trade-offs and finding break-even points Identifying bias in discrete data Making predictions of outcomes with confidence Designing tests and determining sample size Evaluating small sample results Using and understanding regression Identifying significant variations in results Finding the impact of components Murray said "The new course should appeal to all disciplines. The examples will be from Marketing, Risk, Fraud, Operations and Collections - all areas of our businesses that require analytics to enable better decisions to be made."