Statistical Thinking for Decision Makers Training Course

Nobleprog (uk) Limited
In Bradford, City Of London, Birmingham and 12 other venues

£1,000
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Important information

Typology Course
Location At 15 venues
Start Different dates available
Description

This course has been created for decision makers whose primary goal is not to do the calculation and the analysis, but to understand them and be able to choose what kind of statistical methods are relevant in strategic planning of the organization.
For example, a prospect participant needs to make decision how many samples needs to be collected before they can make the decision whether the product is going to be launched or not.
If you need longer course which covers the very basics of statistical thinking have a look at 5 day "Statistics for Managers" training.

Venues

Where and when

Starts Location
On request
Aberdeen
Aberdeen City, Scotland
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On request
Belfast City
County Antrim, Northern Ireland
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On request
Birmingham
West Midlands, England
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Different dates available
Bradford
West Yorkshire, England
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On request
Brighton and Hove
East Sussex, England
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See all (15)
Starts On request
Location
Aberdeen
Aberdeen City, Scotland
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Starts On request
Location
Belfast City
County Antrim, Northern Ireland
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Starts On request
Location
Birmingham
West Midlands, England
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Starts Different dates available
Location
Bradford
West Yorkshire, England
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Starts On request
Location
Brighton and Hove
East Sussex, England
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Starts On request
Location
City Of London
Token House, 11-12 Tokenhouse Yard, EC2R 7AS, London, England
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Starts On request
Location
Coventry
West Midlands, England
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Starts Different dates available
Location
Edinburgh
Midlothian/Edinburghshire, Scotland
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Starts Different dates available
Location
Exeter
Devon, England
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Starts On request
Location
Leeds
West Yorkshire, England
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Starts On request
Location
Leicester
St. Georges House, Leicestershire, England
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Starts On request
Location
Reading
Berkshire, England
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Starts On request
Location
Sheffield
South Yorkshire, England
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Starts Different dates available
Location
Swansea
Swansea, Wales
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Starts On request
Location
Swindon
Wiltshire, England
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Frequent Asked Questions

· Requirements

Good maths skills are required. Exposure to basic statistics (i.e. working with people who do the statistical analysis) is required.

What you'll learn on the course

Decision Making
Testing
Statistics
Primary
Logic
Data Collection
Strategic Planning
Trade
Confidence Training
Probability

Course programme

What statistics can offer to Decision Makers
  • Descriptive Statistics
    • Basic statistics - which of the statistics (e.g. median, average, percentiles etc...) are more relevant to different distributions
    • Graphs - significance of getting it right (e.g. how the way the graph is created reflects the decision)
    • Variable types - what variables are easier to deal with
    • Ceteris paribus, things are always in motion
    • Third variable problem - how to find the real influencer
  • Inferential Statistics
    • Probability value - what is the meaning of P-value
    • Repeated experiment - how to interpret repeated experiment results
    • Data collection - you can minimize bias, but not get rid of it
    • Understanding confidence level
Statistical Thinking
  • Decision making with limited information
    • how to check how much information is enough
    • prioritizing goals based on probability and potential return (benefit/cost ratio ration, decision trees)
  • How errors add up
    • Butterfly effect
    • Black swans
    • What is Schrödinger's cat and what is Newton's Apple in business
  • Cassandra Problem - how to measure a forecast if the course of action has changed
    • Google Flu trends - how it went wrong
    • How decisions make forecast outdated
  • Forecasting - methods and practicality
    • ARIMA
    • Why naive forecasts are usually more responsive
    • How far a forecast should look into the past?
    • Why more data can mean worse forecast?
Statistical Methods useful for Decision Makers
  • Describing Bivariate Data
    • Univariate data and bivariate data
  • Probability
    • why things differ each time we measure them?
  • Normal Distributions and normally distributed errors
  • Estimation
    • Independent sources of information and degrees of freedom
  • Logic of Hypothesis Testing
    • What can be proven, and why it is always the opposite what we want (Falsification)
    • Interpreting the results of Hypothesis Testing
    • Testing Means
  • Power
    • How to determine a good (and cheap) sample size
    • False positive and false negative and why it is always a trade-off

Additional information

7 hours (usually 1 day including breaks)

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