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Our upcoming courses at Helmholtz Munich

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”

Course description

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.

Course description

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.

Course description

Date: 09 & 10 July

Time: 09:00 - 17:00

Format: Online

Registration: CaMS

In the "Introduction to Machine Learning" course, we delve into the practical application of machine learning techniques for data analysis using Python. This course is designed for individuals interested in leveraging machine learning for data analysis, focusing less on traditional statistics and more on predictive modeling.

By the end of the course, you will be able to confidently select and utilize suitable machine learning techniques, interpret your findings effectively, and apply them to real-world scenarios. Additionally, you'll learn concepts and acquire practical skills that you can translate into solutions for your own research challenges.

 

Prerequisites: Programming skills with Python, e.g. course Introduction to Python. Basic understanding of statistical methods, in particular regression analysis, is recommended, e.g. course Introduction to Statistics.

Course description

The plan for 2024 is available HERE. Registration opens some weeks prior to the course, please check CaMS for details. Please consider that dates might change slightly throughout the year.

Hint: You might need to actively reload the homepage / clear the cache to see the most current courses, e.g. press F5.

 

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.