Introduction to Statistics using Python

Dates: 29/30 September, 6/7 October
online using Zoom

Powered by the Statistical Consulting Core Facility of Helmholtz Munich, IHRS BioSoft, BIF-IGS, and HIDSS4Health offer a four-day introductory course on Statistics. The online course provides the participants with lectures, exercises, and a comprehensive script.

Each day consists of blocks covering first the statistical theory behind the methods and their application in Python, and then hands-on examples with best-practice solutions.

The course covers basic statistical methods:

  • Descriptive statistics
    • Levels of variables
    • Measures of tendency and variability (mean, median, variance, …)
    • Classical statistical graphics and when to apply them (histogram, boxplots, violin plots, …)
  • Random variables
    • Distribution of random variables
    • Characteristics of distributions
    • Confidence intervals
  • Hypothesis testing
    • How to apply tests
    • Classical statistical test (t-test, ANOVA, ...)
    • When to apply which test
    • Multiple testing and corrections
  • Linear regression
    • Idea of linear regression
    • How to apply and interpret linear models
    • Limits of linear regression

The focus in all chapters is to understand when to apply which method, how to run them in Python and how to interpret the output. Also, limitations and extensions of the methods are discussed. The trainers are happy to answer questions during the talks and exercises.

The goal is that participants understand when to apply which method, how to use the methods in Python, and how to interpret the output. Also, limitations and extensions of the methods are discussed.

Previous Knowledge
The course will require basic skills in programming with Python, including knowledge using the packages Pandas, Matplotlib, Seaborn, and NumPy. If you do not have this knowledge yet, prior participation in our course "Python from Zero to Data Science" is required.

Technical Requirements
Participants are asked to bring their own computer on which they have the necessary rights to install software.

All interested Ph.D. students that are based in IHRS BioSoft groups in Aachen, Bonn, Cologne, Düsseldorf and Jülich can register. In case the course should be overbooked priority will be given to fellows of the three organizing schools. For registration and further information on the course, visit the course website.

Most of the IHRS BioSoft courses are open to all interested colleagues. If you participate in more than 75% of a course, you can receive a Certificate of Participation. To register for our newsletter, send us a short email with your name, your institute, and your position.

@ Aachen, Bonn, Cologne, Düsseldorf, and Jülich

Last Modified: 23.04.2023