Storytelling with Data: Unlock Insights, Drive Results

"A great data story starts with uncovering a story to tell."

In this lecture we will uncover methods to frame your hypothesis and actionable outcome.

In this course we will learn to frame and shape data visualizations based on hypothesis questions.

"Transforming data unlocks its value"

We will explore data transformation to create business friendly datasets and visuals.

"Investors don't like uncertainty" - Kenneth Lay

Enron was a Wall Street corporation that collapsed overnight due to fraudulent accounting practices. In this lesson we will walk through the trials and tribulations - and gain insight into the structure of a data story.

In this exercise you will create the Enron chord chart visualization.

A chord chart is a great simplified circular layout to link relationships. In this exercise you will depict the significant relationships in a dataset containing the communication of 600000 Enron employees. Investigate potential fraudulent relationships, uncover hidden relationships - you will be the investigator.

In this exercise you will replicate one of the greatest visualizations of all time and explore the power of a multidimensional data visualization.

The Minard map depicts the plight of Napoleon's troops in Russia. Get a glimpse of the action, events and factors influencing the movement and welfare of the troops.

"Knowledge is the rediscovering of our own insight"

The introduction will walk through some of the data mining use cases you will explore and create.

In this lecture we explore the importance of data mining and how it can uncover hidden insights for your data stories.

In this lesson we will explore data visualizations used for relationships in our data. We will explore how to highlight relationships discovered in our data in a way that conveys our message effectively.

"The whole is greater than the sum of its parts" - Aristotle

In this lecture we will explore part to whole visual which are effective for showing proportions and quickly highlighting trends for key insights and elements.

"Design is thinking made visual"

In this session we will look at visual techniques for supervised and unsupervised data mining. This will help you use data stories to bring hidden insights discovered by machines to life.

Does money buy happiness? In this scenario we explore this question through visual trend analysis.

In this lesson we will explore k-means clustering to find associations in your data. This is one of the simplest and popular unsupervised machine learning algorithms. Visualizing techniques can help bring these associations to life by appealing to our mind's pattern matching tendencies.

In this exercise you will create a correlation plot. This is a quick way to visualize correlations and potentially find causations and new insights.

In the exercise we will create a K-means clustering visual built on machine learning to colorfully depict associations in a way that is simple and engaging for an audience. You can tailor this solution to build clusters of relationships in your dataset.

In this exercise we will create a decomposition tree. This is an AI powered visual that lets you visualize data across multiple dimensions. It automatically aggregates data and enables drilling down into your dimensions in any order. AI can highlight the next dimension to drill through based on predefined criteria.  This tool is valuable for data stories with ad hoc exploration and intelligently performing root cause analysis.

The key influencers visual breaks down metrics and variables into factors. It is AI driven - analysing your data, , ranking the factors that matter as key influencers.

This can form a powerful data story - using machine-driven insights to support your hypothesis and highlight key factors influencing a particular outcome.

In this exercise you will be a sleuth - understanding the crime dynamics in Chicago using an analytical dashboard. Combining dashboard visual design techniques and the power of machine learning to combine human and machine insights to vast potential.

If the forecasting visual does not work - please import the .pbiviz file attached to render the forecasting visual.

In this exercise you will create the health and wealth data visualization using a spline visualization. A spline smooths out the relationships in noisy scatterplot data to simplify insights for quick perception.

In this exercise you will create a boxplot - a powerful visual for quick summarization and exploration of a dataset.

A boxplot gives an idea of data symmetry, skewness and shows outliers. It also grants the power of comparing categories across dataset for quick analysis.

"Seeing is believing"

In this session we will look at Gestalt - the principle that underlies the art of data visualization to trigger human perception and quickly pave the way to insights.

"Good design is good business" - Thomas Watson

The session will introduce visual design principle to understand its role and importance in heightening emotion and design stories for visual impact.

In this session we look at the Gestalt principle of proximity and how our eyes magically associate elements for key insights.

In this session we look at the Gestalt principle of similarity and how effective it is across a wide range of visuals.

As humans we perceive closure, connection and order in the world around us. See the effects of these techniques in quickly highlighting patterns for rapid insights and conclusions.

In this session we look at:

• The Gestalt principle of isomorphic correspondence and how can use it appeal to the emotions and subconsciousness of people.

  
  

• The use of contrast to highlight differences and emphasize insights in a really exciting way.

The Stock Performance dashboard siphons data from Yahoo finance to gather real time insights on stock market performance using hierarchical dashboard design.

In this exercise you transform data for the visual to prepare the data model for visualization and incorporate key metrics.

The Stock Performance dashboard siphons data from Yahoo finance to gather real time insights on stock market performance using hierarchical dashboard design.

In this exercise you will bring the dashboard to life with metrics for key insights and visuals and arrangement according to Gestalt and visual design principles.

"May the force be with you"

A force-directed graph is a visualization technique that  focuses on relationships between elements of interest. In this exercise you will create this aesthetic visual and use machine learning to intelligently link related entities.

This is a powerful tool in network visualization,  social media representation, complex graph visualization, knowledge networks and complex system representation.

In this session I will introduce the role of the narrative in your data story.

In this session we will explore the comic style narrative - a framework to connect insights and make them exciting and memorable.

The eight visual story types serve as a foundation for your narrative and helps emphasize key insights  using the appropriate charts and graphs.

In this session we explore intersections where different sources of information align and may bring forth new insights. This is a more complex form of data story but highly effective in building new actionable outcomes.

The shock and awe data story™  technique aim to provide insights in a rapid manner to keep the audience emotionally engaged and to maintain their sense of perception.

In this session we will explore this creation of this narrative type.

In this session we will delve into the hook. This is often the most important part of the data story - to build the stakeholder's energy and to set the frame and context.

In this session we will explore the Shock and Awe Data Story™ in motion - slowly uncoiling tension to engage and improve retention.

Creating powerful insights follows basic ingredients and a formula. In this session we will explore the building blocks and impacts of insights. In this way you will be able to leverage insights more effectively.

The cliffhanger is a classic storytelling technique. In this session we explore it in the world of data stories. You will gain insight into weaving cliffhangers into your data stories to build suspense and make insights more memorable,

Small multiples are an effective way to visualize data with multiple dimensions - creating snapshots of graphs across these dimensions.

In this exercise you will create these little data stories to tell all sides of a story and make a big impact.

Narrative over time is the most common data story yet very powerful.

In this exercise you will create a narrative over time graph and effectively annotate it to deliver you message effectively.

In this session you will create frame by frame insights - in a comic-style narrative - to link insights to an actionable conclusion.

You will create a data story in motion - mimicking the famous health and wealth of nations data story.

You will create a data story in motion - mimicking the famous health and wealth of nations data story.

In this exercise we bring the data story to life.

Treemaps are a powerful to for complex dataset - able to depict multiple hierarchies and dimensions and simplify big data.

In this exercise you will create a product treemap to delve into a product hierarchy - and truly see the trends of stock sales.

Data stories can be tailored and molded to an audience.

In this session we will explore the considerations for tailoring stories to an audience and ensuring persuasion and relevant insight delivery.

Your persona is the magical aura which complements the data story and helps bring personality to your insights.

In this session we will explore the creation of a relevant persona to engage the audience and support your insights.

In this session you will learn tools to engage the audience and how to navigate elements of a data story for full impact.

AI helps augment your insights and your delivery. In this session you will learn about AI capabilities you can use to discover hidden insights and support your data story.

In this exercise you will create bookmarks to support your dashboard navigation structure. This will help create a slow reveal in insight delivery to focus the audience attention.