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Overview

Syllabus

Module 1: Finding your best sources: Topics and datasets

This week you will learn
How to think with a data frame of mind
Where to find interesting and useful data
What different types of data can tell you
How to scrape data from websites

Module 2: The Secret to a great data story: Data biographies

This week you will learn
Why taking the time to deeply understand your data is essential
How to build a data biography
To understand sampling and margins of error
How to clean and prep your data efficiently and effectively

Module 3: Finding potential stories in your dataset: Exploratory Analysis

This week you will learn
To distinguish between different types of data
How to conduct exploratory analysis of numbers
Where to start with analyzing text data
To develop your ideal story analysis plan

Module 4: The plot thickens: Next steps in analysis for your data story

This week you will learn
To work with many variables at the sample time
How to avoid common mistakes in your analysis
What it means to build and use a data model
To understand and use cause and effect in data
The different types of data narratives

Module 5: More advanced analysis for your data

This week you will learn
The details of working with complex data relationships
To build a multivariate model for your data
How to craft a basic map
The importance of mediators and confounders in your data story

Module 6: How to craft a narrative based on your data

This week you will learn
The first steps in writing about data results
How to use Tableau Stories to create action and plot
Best practices for explaining uncertainty in your stories
To harness the power of different types of data storytelling

Taught by

Heather Krause

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