Analytical Thinking for Decision Making

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In this interactive, practical ‘Analytical Thinking for Decision Making” workshop participants learn how people make decisions using data, the language of data and how to apply a simple, structured process that shows you how to answer questions or make decision with data.

Participants will also learn to ask business-relevant data questions, obtain relevant data, make sense of the data, draw conclusions supported by data and present results to stakeholders in a way that promotes action.

Suitability

This workshop is intended for people who want to better understand the relationship between data analysis and decision making with the aim of becoming a better data analyst.

Learning Outcomes

At the end of the course participants will be able to:

Identify and minimise the impact of cognitive bias in data-driven decision-making
Apply critical thinking to data analysis to ensure your conclusions are reliable and sound
Apply scientific thinking to data analysis by creating hypotheses which can be tested with data
Apply logical thinking to ensure that conclusions drawn from data analysis are logically sound
Apply ethical thinking to data analysis with the goal of minimising the chance of unintended consequences arising from data-driven decisions

Course Agenda

Module 1

Understanding Human Decision Making
A deeper dive into the brain’s thinking systems
Intuitive Thinking: When to rely and not rely on it
Logical Thinking: When to rely and not rely on it
Understanding and minimising cognitive bias
Critical Thinking in Data Analysis
Start with a good question
Identifying and avoiding reasoning errors
Evaluating your evidence
Scientific Thinking in Data Analysis
Understanding the scientific method
Forming a good hypothesis
Observation versus experiment

Module 2

Logical Thinking in Data Analysis
Deduction versus induction
The structure of a logical argument
Identifying and understanding logical fallacies
Statistical Thinking in Data Analysis
Description versus inference
Understanding variation
Distinguishing signals from noise
Ethical Thinking in Data Analysis
What is ethical thinking?
Why is ethical thinking needed in data analysis?
How to maximise the chance of ethical analysis
The data analyst’s code of ethics

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