Online Course

Learn the first practical and useful methods in statistics: how to describe your data and make convincing graphics and plots that illustrate your findings and your ideas.

This one-day course is free of charge.
The course takes place on May 27, 2025, from 9am to 4pm CEST.
Register below until May 18, 2025.

Describe and Visualize

This course will review several aspects of data exploration, description, and visualization. This will open the way to grasp the basic concepts used in statistics.

At the end of this one-day course, you will have seen and heard most of the important vocabulary in typical data description. You will know how to best summarize your data and what to use or not to use for this purpose. You will have seen different kinds of plots and understood what is the best for the different type of data. In the course, you will see various examples of good data visualization taken from the literature.
Moreover, we will spend also some time considering what could be a misleading visualization.

The participants attending the course for the entire duration will receive a copy of the lecture notes.

This course is open to everyone interested and is free of charge.
We start at 9am CEST and finish at 4pm CEST, including a lunch break and many short breaks.

The course takes place on May 27, 2025.
Register below with your email address to get access to the course.
If you encounter a problem with the registration mask, please email angelo.valleriani@appliedstatistics.de.

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Visualize Statistics

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“Thank you for the awesome lecture! Now I have much more insight to think about my research in statistical aspects. I will keep the contents of lecture in mind.”
S. MoonStudent
“Thank you a lot. It was very useful. Thank you for your time and patience.”
A. KarimaStudent
“Thank you very much for this course! I learned a lot and enjoyed it very well.”
A. GurjanovStudent
“Thank you very much for the excellent course and for keeping us informed and motivated all along! I am glad that I can participate and learn from you.”
N. BegunStudent
“Many thanks for the insightful lectures last week! They provided a great starting point for learning statistics and I am very much looking forward to applying this new knowledge in some of my upcoming research projects.”
S. WolfStudent
“Thanks again for your great course.”
M. MazaherijohariStudent
“Many thanks for your lecture in last week, it was really compact and informative.”
Y. ZhaoStudent
“I am writing to you to express my deepest gratitude and appreciation for this wonderful course. For me this course had the best mix of overall intuition combined with just the right amount of theory and practical examples. I enjoyed every minute of the lectures in the last 3 days. Thanks a lot for this course and also for encouraging us to ask questions and patiently answering them!”
Z. SultanaStudent
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A. SchlagheckStudent
“Thank you so much for another engaging and interesting lecture. I learned a lot and practiced some of the forgotten notions.”
V. SatarifardStudent
“Thanks very much for your awesome lecture!”
Y. ZhouStudent
“Thank you so much for offering this course and helping us to learn better about Statistics. With the help of your course, I had the chance to understand better the mathematical background of the statistical terms and tests that I am using in the evaluation of my experimental data, it was a very useful course.”
M. AleksanyanStudent
“I am writing to thank you for all the time and efforts you have dedicated to deliver the course and generously share to us your knowledge. Thank you!”
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Angelo Valleriani

Theoretical physicist turned into a multidisciplinary scientist

I’ve been inspired by a diverse range of topics like malaria, cancer, and gene expression, applying this knowledge in my teachings. My teaching now focuses on applied statistics, where I blend theory and experiment to elucidate the math behind randomness. Despite my affinity for the mathematical details, I understand the importance of intuition in teaching. On this website, I offer courses designed for those who are curious or preparing for a professional course, aiming to make complex statistical theories accessible to all.

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