Thinking and Communicating with Data
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What’s Included
Course Overview
Course Overview
This lesson introduces the course and outlines what will be covered in the coming lessons.
The Information-Action Value Chain
The Information-Action Value Chain
Data in itself doesn't create value for a business. In this lesson, we'll introduce a model that explains how raw data is processed and converted into something of value to a business.
The Data Pyramid
The Data Pyramid
This lesson introduces the data pyramid, which is a long-standing model for analyzing the role of data in an organization.
Planning a Data Project
Planning a Data Project
Beginning a series of lessons following the path of a data analysis project, this lesson will learn how to create a plan a data project by creating a project scope.
Telling Stories with Data
Telling Stories with Data
There can sometimes be a disconnect between technically minded data analysts and managers focused on the big picture. This lesson provides some thoughts on how to overcome this potential issue by treating data as a storytelling tool.
Understanding the Audience
Understanding the Audience
Understanding the audience is key to communicating with data. This lesson discusses what factors to consider when analyzing your audience.
Reasoning and Arguing with Data
Reasoning and Arguing with Data
Once you know who the audience is, you need to make your point convincingly. This lesson explains the elements of a good argument that will convince the audience of your point.
Communicating Data Analysis Results
Communicating Data Analysis Results
This lesson will apply some of the material learned over the previous few lessons to a practical business case study.
Making Decisions with Data
Making Decisions with Data
Once everyone understands the result of a piece of data analysis, the next step is to convert that into a decision that will inform business actions. This lesson will discuss how that decision-making process works.
Features of Effective Visualizations
Features of Effective Visualizations
A large amount of modern data analysis is presented visually. This lesson will demonstrate some characteristics of good and bad visualizations that you should be aware of.
Misleading People with Data
Misleading People with Data
This lesson will discuss how data can be misused, either intentionally or accidentally, and how to avoid and deal with this misuse. The objective is to prevent viewers from being misled themselves.
Understanding Correlation and Causality
Understanding Correlation and Causality
Confusing correlation and causality is a common misunderstanding related to data. This lesson will discuss both principles and explain why correlation is more commonly found in data analysis.
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