Communication, conversation, and collaboration – these three C’s are the keys to data-driven business. Data is the catalyst that triggers and inspires the three C’s. Data visualization is a core element of business analytics and business communications. Without visualization, the numbers and statistics of analytics are difficult to interpret and incomprehensible to many who need to turn data into knowledge. Elegant and well-designed data visuals often appear to be easy because skilled visual developers hide the complexities and hard work behind the scenes.
Creating visualizations is only the beginning. Analytics impact depends on visualization skills of two kinds – ability to create visuals and ability to understand them. The real value of visualization does not come from creating visuals, but from understanding what they tell you. With the language of words we learn reading and writing as separate but related skills. Similarly, with visual language we need to learn understanding (reading) and creating (writing) as distinct but related skills.
Data storytelling takes data visualization to the next level. Storytellers are the next generation of business and data analysts. They don't dismiss the value of the quants; they see quantification as the foundation of data stories. Neither do they devalue visualization; in fact, they amplify it’s value by scripting a story with visuals to communicate the what, when, where, who, and why of business circumstances and business behaviors.
The Visualization and Storytelling Skills workshop will cover essential techniques and best practices for data visualization and data storytelling over three days of in-depth, interactive training.
There are no prerequisites for this course.
Business analysts and data analysts
Business analytics leaders and managers
Anyone who uses data to develop charts and graphs for communication
Business managers, decision makers, analysts and other analytics consumers seeking to refine their skills for understanding data visualizations
Anyone who creates data visualizations for others
Anyone who views data visualizations created by others
Visual design techniques and the components of visualization
Visual data exploration and analysis
The most important things to look for when viewing data visualizations
How to do a “quick read” and a “critical read” of data visualizations
To see trends, patterns, and outliers in visual presentation of data
To see ambiguity, distortion, and bias in visual presentation of data
How to find the stories in data and data visualizations
How to support data visualization with narrative and craft captivating and compelling data stories