Our upcoming courses at Helmholtz Munich
Date: 07, 08 May 2024
Time: 09:00 - 17:00
Format: Campus Neuherberg
Registration: CaMS
“Mixed Models” address datasets containing multiple measurements of the same individuals or of groups, a situation in which classical statistical approaches are biased. In this course, we begin with a summary of linear models and their limitations, then explain “Mixed Models”, their applicability, and usage. We will cover random intercept and random slope models in detail. Besides discussions on the interpretation and theory also ideas how to run the models with R and exercises will be provided.
Prerequisites: Programming skills with R, e.g. course “Introduction to R” and knowledge of regression models, e.g. course “Introduction to Statistics”. Some practice in ggplot2 is also welcome.
Date: 14 May 2024
Time: 9:00 - 17:00
Format: Campus Neuherberg
Registration: CaMS
"RMarkdown" is a fantastic tool to write efficiently manuscripts and research reports. It relieves the work to get your manuscripts and reports reproducible and transferable. You combine the coding in R and writing of the documentation/interpretation of the results all in the same file and compile it directly as a report (e.g. as html, pdf or word document). No copy pasting from the statistical analysis tool to the documentation file anymore. After this course, you will no longer need to create multiple files in order to produce one single research document. Tables, figures, citations and much more can be included in one single document to be directly shared with your peers or PIs.
Prerequisites: Programming skills with R, e.g. course “Introduction to R”
Date: 15 May 2024
Time: 9:00 - 17:00
Format: Campus Neuherberg
Registration: CaMS
“Version control using Git and RStudio” provides a foundation for applying version control in your daily work. Git is a modern version control environment. Classical applications involve Gitlab and GitHub. The course is designed for applied researchers with no or low previous knowledge in using Git. However, we recommend to have programming skills, for example in R, Python, or similar. In this course you will learn the basics of how to get started with Git and will achieve a basic understanding how Git works. Further, you will learn how to run version control using remote servers like Gitlab. During the course we will discuss graphical user interface options to apply version control (RStudio) and show options for command line usage.
Prerequisites: Basic programming skills, e.g. experience with R or Python.
Date: 16 May 2024
Time: 9:00 - 12:30
Format: online
Registration: CaMS
Data visualization allows us to represent and understand information in a fast and intuitive manner. What makes great charts great? And what makes bad charts bad, or even sometimes misleading? It is easy to view charts as factual and impartial, but every chart tells a story and highlights different aspects of the underlying data. Through a series of real-life examples, we will discuss the importance of clear and deliberate data visualization, which ingredients we need to combine to create clear and precise visualizations and learn how communicate as clearly through our charts as in our writing.
Please consider this seminar was part of the “Data Visualization Workshop” in 2022 & 2023.
Date: 16 May 2024
Time: 13:30 - 17:00
Format: online
Registration: CaMS
“Shiny” is a powerful tool providing more than just static graphics or tables to readers. It enables us to directly combine R code/outputs with the writing of interactive html pages. The user can modify all kinds of features, for example selecting specific groups, adding further covariates, or simply playing around to discover more features step-by-step. In this course we combine some short introduction on how shiny works with hands-on exercises.
Prerequisites: Programming skills with R, e.g. course Introduction to R. Basic knowledge on applying ggplot2 functions (e.g. course Graphics with R) and using RMarkdown (e.g. course RMarkdown) is advantageous but not mandatory.
Date: 18, 19 June 2024
Time: 9:00 - 17:00
Format: Online
Registration: CaMS
“Introduction to R” provides a foundation for coding with the statistical programming language R. The course is designed for applied researchers with no previous programming skills. In this course you will learn the basics of coding in R. In particular, you will learn how to read and manipulate datasets. These skills are necessary for performing any subsequent statistical analyses in R.
Prerequisites: None
Date: 25, 26 June & 02, 03 July 2024
Time: 9:00 - 17:00
Format: Online
Registration: CaMS
“Introduction to Statistics” is a foundational course in statistical analysis for scientists and practitioners. This course covers descriptive statistics, classical statistical tests (t-test, Wilcoxon/Mann-Whitney-U test, ANOVA, etc), and linear regression and its extensions. All methods are explained in an applied setting. By the end of the course, you will be able to identify appropriate statistical methods, apply them, and interpret your results.
Prerequisites: Basic skills in programming with R, e.g. course “Introduction to R”
Date: 27, 28 June & 04 July 2024
Time: 09:00 - 17:00
Format: Campus Neuherberg
Registration: CaMS
“Introduction to Python” provides a foundation for coding with the programming language Python. The course is designed for applied researchers with no or low previous programming skills in Python. In this course you will learn the basics of coding in Python. In particular, you will learn how to read and manipulate datasets, do basic calculations and plots. These skills are necessary for performing any subsequent course applying Python like Scanpy.
Prerequisites: Basic knowledge in Programming and Statistics is recommended, but not mandatory.
Date: 05 July
Time: 09:00 - 13:00
Format: Online
Registration: CaMS
“Reproducible and Open Research” provides a broad overview on different aspects of open research and reproducibility. This includes the fields of technical, statistical and computational reproducibility. With a focus on the latter two aspects. The course consists of lessons on different aspects of open and reproducible research and offers the opportunity to discuss about experiences and expectations on this topic. Various other features of Open Science will also be discussed. Furthermore, some hand-on examples for how to implement these methods in your daily work are provided.
Prerequisites: None. However, basic knowledge in statistics and programming is advantageous.
The plan for 2024 is available HERE. Registration opens at least 8 weeks prior to the course, please check CaMS for details. Please consider that dates might change slightly throughout the year.
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These courses are designed for employees of Helmholtz Munich. Please use CaMS for registration. For questions please contact us via email.
For employees of other Helmholtz centers we offer similar courses at HIDA.