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Our upcoming courses at Helmholtz Munich

Date: 29 February & 01, 07 March 2024

Time: 09:00 - 17:00

Format: online

Registration: Email to Anna Polla (The course is fully booked)

“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.

Course description

Date: 05 & 06 March 2024

Time: 9:00 - 17:00

Format: online

Registration: Email to Anna Polla (the course is fully booked)

“Graphics with R” covers methods in customizing classical R graphics. For example, manipulating axes, combining multiple figures in one graphic and different color schemes. Additionally, an introduction to ggplot2, an advanced and powerful tool for building graphics with R, is provided. In this course you will learn how to create refined, meaningful graphs in R to visually describe your research outputs.

Prerequisites: Programming skills with R, e.g. course “Introduction to R”

Course description

Date: 12, 13, 19, 20 March 2024

Time: 9:00 - 12:30

Format: online

Registration: Email to Anna Polla (the course is fully booked)

“Survival Analysis” deals with statistical models for analyzing time-to-event data. These are applicable to classical survival analysis (time until death) or other time-to-event settings (recurrence of a tumor, discharge from a hospital or time until a machine breaks). The methods we will discuss include the Cox proportional hazards model and parametric regression models such as accelerated failure time models.

Prerequisites: Programming skills with R, e.g. course “Introduction to R” and basic knowledge of regression models and hypothesis testing, e.g. course “Introduction to Statistics”. Basic knowledge on applying ggplot2 functions is advantageous but not mandatory (e.g. course “Graphics with R”).

Course description

Date: 9, 10 April 2024

Time: 9:00 - 17:00

Format: Campus Neuherberg

Registration: Email to Anna Polla (the course is fully booked)

“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

Course description

Date: 16, 17, 23, 24 April 2024

Time: 9:00 - 17:00

Format: Campus Neuherberg

Registration: Email to Federico Tamayo (The course is fully booked)

“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”

Course description

NEWS: The plan for 2024 is now available HERE. Registration usually opens 8 weeks prior to the course. Please consider that dates might change slightly throughout the year.

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These courses are designed for employees of Helmholtz Munich. For registration please contact the organizer via email (see items above). For general questions please contact us via email.

For employees of other Helmholtz centers we offer similar courses at HIDA.