Helmholtz Munich

Ongoing lecture in Core Facility Statistical Consulting

We offer a wide variety of high-quality statistical courses at different levels of expertise to Helmholtz staff and, upon request, to external institutes.

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We coordinate our courses with those of the Bioinformatics Unit of the Core Facility Genomics (CF-GEN) and the Single Cell Unit of the Computation Health Center.

Further Information

The courses are open for all staff members of Helmholtz Munich and persons with guest contracts. They are part of the program of the HR Development department* and the HELENA program.

We have partnered with the Helmholtz Information & Data Science Academy (HIDA) and offer courses to members of other Helmholtz centers.

We also offer courses for externals. Please contact us for details. If you want to order a complete course, e.g. for your institute, please fill out the request form and send it to us.

We also develop courses upon request.

We strongly recommend to first participate in an Introduction to R course before participating in an Introduction to Statistics course.

Please check the according course descriptions for the formal requirements of each course.

The courses Introduction to R, Introduction to Statistics and Reproducible and Open Research are mandatory for new doctoral researchers and PostDocs. Details on this regulation can be found here.

The layout of courses like they appear today started in 2018. Since then, we have taught more than 150 courses. Many of them for Helmholtz Munich and HiDA, but also for other Helmholtz Centers and industrial partners. In our portfolio there are at the moment 14 different courses and further courses are being developed. The courses range from basic programming courses to advanced statistics courses and reproducibility.

Our Philosophy

Our teaching philosophy combines self-learning with explanatory sessions so that you can easily apply your new knowledge to your own research questions. Our trainers are experienced, qualified, and friendly research scientists and will be happy to answer any questions that you may have.

"Overall, great line of topic, well-organized and -explained, really enjoy it."

"Overall, absolutely amazing experience, I love these courses, this is my third.

I find them crucially important for solid understanding of statistical analysis, and it definitely fills the holes, so it provides us with a very solid base for further learning"

Teaching

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Our Courses

Introduction to R

Introduction to Statistics

Reproducible and Open Research

Graphics with R

Multivariate Statistics 1

Multivariate Statistics 2

Survival Analysis

RMarkdown

Mixed Models

Introduction to Python

Version control using Git and RStudio

Statistical Models with R

Introduction to Statistics using Python

Data Visualization Workshop

Further Information

Our Philosophy

Our Customer Feedback

"Overall, great line of topic, well-organized and -explained, really enjoy it."

"Overall, absolutely amazing experience, I love these courses, this is my third.

I find them crucially important for solid understanding of statistical analysis, and it definitely fills the holes, so it provides us with a very solid base for further learning"

"I learned every statistical analysis methods relevant to my current research in this webinar"

"Overall it was the best online training I’ve attended by far"

"This was a fantastic introduction seminar that I would recommend to anybody in the field!"

"Great course with great teachers!!"

" The instructors were really good. I really enjoyed it.

I liked the course structure too."

"All instructors were insanely good at explaining complicated math in a fashion that I can follow the concepts as a Biologist.

What definitely helped was the example data sets that were chosen to mirror data we are working within the lab and hence were familiar with!

Thanks for the patience during all our questions and keep up the fantastic work!"

Our Contact

Core Facility Statistical Consulting

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Teaching

Our Courses

Introduction to R

Introduction to Statistics

Reproducible and Open Research

Graphics with R

Multivariate Statistics 1

Multivariate Statistics 2

Survival Analysis

RMarkdown

Mixed Models

Introduction to Python

Version control using Git and RStudio

Statistical Models with R

Introduction to Statistics using Python

Data Visualization Workshop

Target Group

Prerequisites

Mandatory courses for doctoral researchers and PostDocs at Helmholtz Munich

Our Teaching History

Our Customer Feedback

"Overall, great line of topic, well-organized and -explained, really enjoy it."

"Overall, absolutely amazing experience, I love these courses, this is my third.

I find them crucially important for solid understanding of statistical analysis, and it definitely fills the holes, so it provides us with a very solid base for further learning"

"I learned every statistical analysis methods relevant to my current research in this webinar"

"Overall it was the best online training I’ve attended by far"

"This was a fantastic introduction seminar that I would recommend to anybody in the field!"

"Great course with great teachers!!"

" The instructors were really good. I really enjoyed it.

I liked the course structure too."

"All instructors were insanely good at explaining complicated math in a fashion that I can follow the concepts as a Biologist.

What definitely helped was the example data sets that were chosen to mirror data we are working within the lab and hence were familiar with!

Thanks for the patience during all our questions and keep up the fantastic work!"

Our Contact

Core Facility Statistical Consulting