• Post category:StudyBullet-13
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Communicate powerful insights from data

What you will learn

Discover the role of the data storyteller in a modern workplace.

Leverage the 7-Step Data Storytelling Frameworkโ„ข to effectively deliver insights from data using insights from data, visuals and narrative.

Create practical solutions which can be tailored to your needs.

Learn to develop an underlying hypothesis.

Learn to transform data for business use.

Explore and create data visualizations to bring focus to insights and heighten emotions.

Leverage the power of data mining to find hidden insights.

Leverage narratives to frame your insights for impact.

Learn to tell the story to engage the audience.

Description

“The ability to weave data stories using data and visuals – is the future of the modern workplace.”

Data storytelling is developing as an essential skill in the modern workplace and one of the main means of delivering insights from analytics.ย  In this course we will explore data storytelling to extract, understand and effectively communicate insights in a compelling manner. The goal is positive business outcomes, strategic insights and improved team collaboration.

Stories have historically been the tool of leaders and influencers – simplifying the world around us, uniting communities and making a lasting impact. Your favorite series, brands, marketers and leaders use stories to build engagement and to communicate key values and insights. Similarly in the complex world of data – stories combining data visuals and key insights – cut through the clutter – engage with logic and emotion and drive actionable outcomes. Data storytelling is a powerful means to share insights and drive change within an organization.


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In this course we will use the 7-step data storytelling frameworkโ„ข to find the value in data and tailor it to the needs of stakeholders using visuals and a compelling narrative. This is a simple step-by-step framework to delve into data – find those underlying questions and communicate an actionable outcome.

You will use the Microsoft PowerBI data visualization tool to create practical solutions with techniques you can tailor to your needs. The solutions will be quick and easy to implement requiring no coding knowledge. Remember – this course is designed for anyone – requiring no practical experience.

Join thousands embracing exciting modern data literacy skills and make a practical impact on your life.

English
language

Content

How to install PowerBI Desktop

How to install PowerBI Desktop

Why data storytelling is important

Why is data storytelling important
The magic of data storytelling
The role of the data storyteller

Finding insights using data visualization

Building your hypothesis
Framing your visual with insights
Transforming your data for visuals
The fall of Enron scenario
Tools for focusing insights
Exercise: Visualizing social network relationships
Exercise: Minard map

Storyteller data mining

Introduction
Why data mining is important
Relationship visuals
Parts to whole visuals
Visual data mining
Scenario: World happiness index
Clustering and visualizing associations in data
Exercise: Exploring relationships with correlation plot
Exercise: K-means clustering unsupervised learning
Exercise: Root cause analysis with decomposition tree
Exercise: Hidden insights with key influencers
Exercise: Analytics dashboard – Chicago crime
Exercise: Smoothing data points
Exercise: Boxplot analysis

The magic of Gestalt

What is Gestalt?
Visual design principles
Proximity
Similarity
Closure, connection and order
Isomorphic correspondence and contrast
Hierarchy patterns
Exercise: Real-time dashboard – load data
Exercise: Real-time dashboard – transform data
Exercise: Real-time dashboard – visualize data
Exercise: Force network graphs for social networks

Engaging with the narrative

The role of the narrative
The comic style narrative
The eight visual story types
Scenario: Health and wealth of nations
Zooming through your narrative
The contrasting story
An intersection of insights
Shock and awe
Hooking your audience
Springing tension
The ingredients for powerful insights
The cliffhanger
Exercise: Multifaceted small multiples
Exercise: Narrative over time
Exercise: Stepper narrative – Facebook IPO launch
Exercise: Dynamic narrative over time – Health and wealth data load
Exercise: Dynamic narrative over time – Health and wealth transformation
Exercise: Dynamic narrative over time – Health and wealth visualization
Exercise: Zoom and filter – Navigating stock hierarchies

Telling the data story

Telling your data story
Tailoring the data story to the audience
Creating your persona
Connecting with the audience
AI data stories
Exercise: Augmenting your delivery