Description
Prior to running analyses, data exploration is crucial to gain an understanding of the dataset and what it contains. Increasingly sophisticated visualization strategies can play an important role at this stage. Visualization is also used at the end of the data analysis process to communicate data insights to an audience, often in the form of a dashboard. In this course, participants will learn tool-agnostic fundamental strategies for visualizing and communicating data (storytelling) and be introduced to the grammar of graphics and the basics of dashboarding.
Following the course, the participants have the option of working on a guided project, getting feedback from the instructor.
Learning Outcomes
At the end of this course the participant will be able to:
- Develop strategies to explore a dataset using visual means
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Discern which strategy and design to use to best represent the results from their data analysis
- Create multivariate visualizations using ggplot2
- Design simple conceptual dashboards
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Learn how they can use storytelling notions to share their analysis insights
Additional Information
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Familiarity with the concepts introduced in the course Data Science Essentials is strongly recommended, but is not mandatory.
- Participants are required to have a laptop/PC on which the current version of R/RStudio is installed (for which they may require administrative authorisation to install packages).
Duration
12 hours
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