HSG_Logo_EN_RGB

Dirk Wulff

Course location

Home university

University of Ljubljana, University of St.Gallen
University of Basle

Course location

University of Ljubljana, University of St.Gallen

Home university

University of Basle
Dirk_Wulff_
Dr. Dirk Wulff received a PhD in Psychology from the University of Basel following a diploma in Psychology at the University Marburg. After holding positions at the Max Planck Institut for Human Development, Berlin, Dr. Wulff currently is a research scientist at the University of Basel and an associate research scientist at the Max Planck Institut for Human Development, Berlin. In his research, Dr. Wulff uses big data approaches to understand of human cognition and behavior with a focus on language and decision making. His research has been published in premier journals in Psychology and Cognitive Science including Psychological Science, Psychological Bulletin, and Trends in Cognitive Sciences. In addition to his academic work, Dr. Wulff is a prolific data science educator and consultant. Through his The R Bootcamp (www.therbootcamp.com), he offers a series of advanced training courses on data visualization, statistics and machine learning and consults on these topics for academic institutions and businesses.

Courses taught by this instructor

Course

Description

Instructor

Level

B = Basic
M = Intermediate
A = Advanced

Next course

Location

Course

Description

Instructor

Level

B = Basic
M = Intermediate
A = Advanced

Location

Next course

Communicating and Visualizing Data with R

Learning objectives The creation and communication of data visualizations is a critical step in any data analytic project. Modern open-source software packages offer ever more powerful data visualizations tools. When applied with psychological and design principles in mind, users competent in these tools can produce data visualizations that easily tell more than a thousand words. In this course, participants learn how to employ state-of-the-art data visualization tools within the programming language R to create stunning, publication-ready data visualizations that communicate critical insights about data. Prior to, during, and after the course participants work their own data visualization project. Course content Each day will contain a series of short lectures and demonstrations that introduce and discuss new topics. The bulk of each day will be dedicated to hands-on, step-by-step exercises to help participants ‘learn by doing’. In these exercises, participants will learn how to read-in and prepare data, how to create various types of static and interactive data visualizations, how to tweak them to exactly fit one’s needs, and how to embed them in digital reports. Accompanying the course, each participant will work on his or her own data visualization project turning an initial visualization sketch into a one-page academic paper featuring a polished, well-designed figure. To advance these projects, participants will be able to draw on support from the instructors in the afternoons of course days two to four.
...

...

B

2023

2023

Communicating and Visualizing Data with R

Learning objectives The creation and communication of data visualizations is a critical step in any data analytic project. Modern open-source software packages offer ever more powerful data visualizations tools. When applied with psychological and design principles in mind, users competent in these tools can produce data visualizations that easily tell more than a thousand words. In this course, participants learn how to employ state-of-the-art data visualization tools within the programming language R to create stunning, publication-ready data visualizations that communicate critical insights about data. Prior to, during, and after the course participants work their own data visualization project. Course content Each day will contain a series of short lectures and demonstrations that introduce and discuss new topics. The bulk of each day will be dedicated to hands-on, step-by-step exercises to help participants ‘learn by doing’. In these exercises, participants will learn how to read-in and prepare data, how to create various types of static and interactive data visualizations, how to tweak them to exactly fit one’s needs, and how to embed them in digital reports. Accompanying the course, each participant will work on his or her own data visualization project turning an initial visualization sketch into a one-page academic paper featuring a polished, well-designed figure. To advance these projects, participants will be able to draw on support from the instructors in the afternoons of course days two to four.
...

...