Introduction to Python for Statistics

  • Introduction to Python for Applied Statistics (remote course)
    • This ten-hour course will cover the main methods of statistics while developing simple and effective python scripts. At the end of the course you will have your own Jupyter notebooks that perform the analysis of your choice, including interval estimations for means and proportions, hypothesis testing for means and proportions, sample size calculations, simple linear regression, and contingency table.
    • Some practice in programming is necessary for a smooth participation. Elementary knowledge of applied statistics is a pre-requisite to participate.
    • At the end and during the course you will receive the Jupyter notebooks derived during the lecture together with the lecture notes.
    • Registration is closed.
    • Participation is restricted to people belonging to the Max Planck Institute of Colloids and Interfaces and their scientific collaborators.