Online Course

Get started with learning Python, a very powerful programming language now a standard in many fields such as machine learning. Learning Python will be your head start for learning statistics. The one-day course is free of charge.

Beginner Python

This course is for those who have no experience in programming and Python and would like to start with it.

We will cover some basic concepts, focussed on future application in performing statistical analysis of experimental data. We will see how to upload and save csv files, how to use the basic but very powerful tools such as Numpy, Pandas, matplolib, Seaborn, Scipy to manipulate, transform and represent your data. Furthermore, we will also look at some visualization tools as well. All this within the Jupyter Notebook environment.

This course is open to everybody who is starting or just wants to start learning Python.
In the future, you will be able to increase your level of proficiency by learning more tools to perform professional statistical analysis of experimental data. Participants will receive a copy of the lecture notes and a copy of the Jupyter Notebooks.

This course will take place on February 4th, 2025. We will start at 9am and finish at 4pm, including a lunch break and several short breaks.

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Newsletter

“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

“Thanks a lot for giving the very good and helpful lecture.”

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!”

J. Dela CruzStudent

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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