Storytelling with Data: Introduction

Storytelling with Data: Introduction

• Course Overview
• identify the process and approaches involved in storytelling with data
• recall the essential approaches of interpreting contexts for storytelling
• recognize the prominent types of analysis that we can use to facilitate data storytelling
• specify the concept of who, what, and how from the context of storytelling
• recognize the relevance of utilizing visualizations in order to facilitate storytelling with data
• list the essential graphical tools that we can use to facilitate data elaboration
• elaborate scenarios to discover who, what, and how
• define the concept of storyboarding along with the prominent storyboarding templates that we can use to implement storyboarding
• recall elements of the storytelling context, specify the analysis types used to facilitate storytelling with data, recognize visualizations used to facilitate storytelling with data, and list graphical tools used for data exploration

In this 10-video course, learners can explore the concept of storytelling with data, including processes involved in storytelling and interpreting data contexts. You will explore prominent types of analysis, visualizations, and graphics tools useful for storytelling. Become familiar with various processes: storytelling with analysis, and its types; storytelling with visualization; and storytelling with scatter plots, line charts, heat maps, and bar charts. Popular software programs are also used: d3.js (Data-Drive Document), WebDataRocks, Birt, Google Charts, and Cytoscape. Users of storytelling include three types: strategists, who actually build strategy for story making; developers or designers, who often use videos, images, infographics to create experience architecture; and marketers or salespeople, who uses different modes including visual social networks, calendaring, messaging in visual form, digital signage, UGC or employee advocacy, story selling, live streaming, or data storytelling. A concluding exercise asks learners to recall elements of storytelling context; specify types of analysis used to facilitate storytelling with data; list prominent visualizations used to facilitate storytelling with data; and list prominent graphical tools useful for data exploration.

Storytelling with Data: Tableau & PowerBI

Storytelling with Data: Tableau & PowerBI

• Course Overview
• list the important approaches and criteria involved in selecting effective visuals for data storytelling
• define the concept of slopegraphs and list the essential capabilities and relevance of slopegraphs
• demonstrate how to implement different types of bar charts using PowerBI
• define the concept of clutters and how to identify and eliminate clutters
• describe the Gestalt principles of visual perception
• recall the prominent best practices of story design
• list the prominent tools that we can use to facilitate storytelling with data
• recall the various essential decluttering steps and approaches that we can implement to eliminate clutters
• demonstrate how to craft visual data using Tableau
• recognize the concerns associated with visual designs from the perspective of storytelling
• illustrate the essential building blocks of PowerBI that we can use to facilitate storytelling with data
• create a model visual using Tableau
• load data from a CSV file using PowerBI, create a bar chart using data, and create a pie chart to compare parts of a whole data set

To convey the true meaning of data most effectively, data scientists and data management professionals need to be able to harness the capabilities of different approaches of storytelling with data. This 14-video course explores how to select the most effective visuals for a storytelling project, how to eliminate clutter, and how to choose the best practices for story design. In addition, learners will see demonstrations of how to work with Tableau and Power BI bar charts to facilitate storytelling with data. Learn to select appropriate visuals for your data storytelling project; how to use slopegraphs; and learn important steps to take in cluttering and de-cluttering data. Explore the gestalt principle, as well as common problems of visual story design. In the concluding exercise, learners will load data by using Power BI from a CSV file; create a bar chart by using the data; and create a pie chart to show the whole-part relation in the data.