AIDriven Data Storytelling with PowerBI 2023
What you’ll learn
Discover the role of the data storyteller in a modern workplace.
Leverage the 7-Step Data Storytelling Framework™ 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.
No prior experience required
“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. 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.In this course we will use the 7-step data storytelling framework™ 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.
Section 1: How to install PowerBI Desktop
Lecture 1 How to install PowerBI Desktop
Section 2: Why data storytelling is important
Lecture 2 Why is data storytelling important
Lecture 3 The magic of data storytelling
Lecture 4 The role of the data storyteller
Section 3: Finding insights using data visualization
Lecture 5 Building your hypothesis
Lecture 6 Framing your visual with insights
Lecture 7 Transforming your data for visuals
Lecture 8 The fall of Enron scenario
Lecture 9 Tools for focusing insights
Lecture 10 Exercise: Visualizing social network relationships
Lecture 11 Exercise: Minard map
Section 4: Storyteller data mining
Lecture 12 Introduction
Lecture 13 Why data mining is important
Lecture 14 Relationship visuals
Lecture 15 Parts to whole visuals
Lecture 16 Visual data mining
Lecture 17 Scenario: World happiness index
Lecture 18 Clustering and visualizing associations in data
Lecture 19 Exercise: Exploring relationships with correlation plot
Lecture 20 Exercise: K-means clustering unsupervised learning
Lecture 21 Exercise: Root cause analysis with decomposition tree
Lecture 22 Exercise: Hidden insights with key influencers
Lecture 23 Exercise: Analytics dashboard – Chicago crime
Lecture 24 Exercise: Smoothing data points
Lecture 25 Exercise: Boxplot analysis
Section 5: The magic of Gestalt
Lecture 26 What is Gestalt?
Lecture 27 Visual design principles
Lecture 28 Proximity
Lecture 29 Similarity
Lecture 30 Closure, connection and order
Lecture 31 Isomorphic correspondence and contrast
Lecture 32 Hierarchy patterns
Lecture 33 Exercise: Real-time dashboard – load data
Lecture 34 Exercise: Real-time dashboard – transform data
Lecture 35 Exercise: Real-time dashboard – visualize data
Lecture 36 Exercise: Force network graphs for social networks
Section 6: Engaging with the narrative
Lecture 37 The role of the narrative
Lecture 38 The comic style narrative
Lecture 39 The eight visual story types
Lecture 40 Scenario: Health and wealth of nations
Lecture 41 Zooming through your narrative
Lecture 42 The contrasting story
Lecture 43 An intersection of insights
Lecture 44 Shock and awe
Lecture 45 Hooking your audience
Lecture 46 Springing tension
Lecture 47 The ingredients for powerful insights
Lecture 48 The cliffhanger
Lecture 49 Exercise: Multifaceted small multiples
Lecture 50 Exercise: Narrative over time
Lecture 51 Exercise: Stepper narrative – Facebook IPO launch
Lecture 52 Exercise: Dynamic narrative over time – Health and wealth data load
Lecture 53 Exercise: Dynamic narrative over time – Health and wealth transformation
Lecture 54 Exercise: Dynamic narrative over time – Health and wealth visualization
Lecture 55 Exercise: Zoom and filter – Navigating stock hierarchies
Section 7: Telling the data story
Lecture 56 Telling your data story
Lecture 57 Tailoring the data story to the audience
Lecture 58 Creating your persona
Lecture 59 Connecting with the audience
Lecture 60 AI data stories
Lecture 61 Exercise: Augmenting your delivery
Data analysts and data scientists wishing to create compelling insights from data.,Executives wishing to embrace modern data literacy skills to influence.,Those aspiring to work in the modern workplace.,Working professionals who wish to learn transferable data literacy skills.
Udemy | English | 7h 4m | 3.61 GB
Created by: Lyle Petersen
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