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OBJECTIVE:
- Communicate and present data is an increasingly common challenge for executives. In this workshop, participants will learn how to use data and other elements of their presentations strategically to communicate a consistent and compelling story. We learn to design presentations that facilitate data interpretation and memorable to your audience.
- In the workshop design principles and psychology of care will be studied. Further work will be on specific techniques of narrative (storytelling), design of slides and data visualization.
- Through examples, learn to select the types of visualizations and graphics most appropriate according to the analysis to be performed and to focus the attention of the audience to communicate a message more effectively.
BASIC COURSE INFORMATION:
ADDRESSED TO:
Executives and professionals from different departments working with data and need to communicate effectively to achieve greater impact in their organizations.
SKILLS TO DEVELOP
Communication, data, continuous improvement, results orientation, decision.
SYLLABUS
I. STORYTELLING AND DESIGN DATA PRODUCTS
A. Product design effective data
– Data Products
– Characteristics of successful products
– Characterization User
B. Storytelling: Telling stories with data
– Main elements of a story data
– Use of attributes
– Laws Tufte and Data-Ink ratio
– Techniques to create effective slides
C. Generation of engagement and emotional design
– Principles of emotional design
– Aesthetic elements
II. DATA DISPLAY CONCEPTS
A. Analysis of temporal data
– Bar graph for time series (pros and cons)
– Line chart for time series (pros and cons)
– Bars grouped vs. stacked bar
– Small-multiple
– Aspect Ratio and consistency of axes
– Comparison of two periods
B. Y-Axis Home zeroes?
C. Temporal analysis of proportions
– Stacked bars for shares
– Stacked areas 100%
D. Analysis of frequencies and proportions
– Horizontal bars and analysis of baseline
– Stacked bars and horizontal applications
– Box-plots and violin-plots
E. Pie-Charts, pros and cons
– Feet vs. Barrras
– Disadvantages of pie-charts
F. Analysis rankings
– Packed bubble chart
– Horizontal Bar Chart
G. Analysis of hierarchies
H. Views vs. H. cartesian radials
I. Relations and multidimensional data
– Scatterplot
– Bubble chart
– Heatmap for multivariate data
J. Display geographic data
K. Selection of color scale
L. Review of online tools to create visualizations
III. WORKSHOP PRESENTATIONS DISPLAYS AND EFFECTIVE
