
Workshops for Professionals:
Data Visualization
Goal
Data professionals spend a huge amount of time exploring, processing, and analyzing their data so that executives can drive data-founded business plans.
Even with highly impactful insights, however, it is challenging to convince your stakeholders. Getting the right message across clearly becomes even more important when decision makers have little time.
In this workshop we will show you how data storytelling can be leveraged in order to make sure the right message is conveyed efficiently and effectively, such that the results of your hard work stand out.
Details
In the first part of the workshop, we will discuss data stories, and their components: the concept - the message we want to convey - and the perception - the presentation of the data backing the message. Then, we will dive deeper into best practices of visualizing data, relying on well-established guidelines and principles.
The second part is hands-on oriented. In groups, we apply the aforementioned best practices to various visualizations and discuss the results of the transformation. Then, we present visual means of drawing attention to specific aspects in the visualization (e.g., by utilizing the Gestalt Principles of visual perception), and apply these to learn how to create a data story.
Target Audience
Professionals that work with data and want to make their communication of data based insights more successful. No technical skills are required.

Tailor-Made
We offer tailor-made workshops
for your teams, to your specifications.
Contact us via +41792018191 or academy@d-one.ai
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Inna Grijnevitch
Inna received her B.Sc. in Software and Computer Engineering from Israel Institute of Technology and her M.Sc. in Computational Biology and Bioinformatics from ETH Zurich. Following her studies she worked at Microsoft USA, IBM Research and Frauenhofer Institute. Her focus is in machine learning and software development. Inna has been in the team since 2019.
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Alexandra Studer
Alexandra received her MSc ETH in Mechanical Engineering from the Swiss Federal Institute of Technology (ETH Zurich) in 2016. In her master thesis she worked on ”modelling red blood cell deformation in a rotary blood pump”. Her areas of expertise are data analysis, testing and data simulation. During her commitment for ETH juniors, she also gained expertise in project and stakeholder management. Alexandra has been in the team since 2017.