Statistics is a must-needed set of tools in experimental sciences. In almost every study, methods from statistics are necessary and their justification is required for a good level publication. Despite the availability of a number of powerful and sophisticated software, it is not always obvious what analysis approach is needed in any particular case if one does not have an introductory level background in the matter.

The courses offered here are aimed to fill the gap. The courses are complementary and partialy overlapping, with the idea of addressing the needs of different people.

  • Introduction to Probability Theory for Applied Statistics (remote course)
    • This ten-hour course will cover the main aspects of probability theory needed to have a good command of the main tools used in applied statistics. This course requires some knowledge of calculus. Please follow this link to read more about this course.
  • Applied Statistics, Part 1 (remote course)
    • This ten-hour course will cover methods for estimating means and proportions by defining and computing confidence intervals and performing hypothesis tests for means and proportions. Please follow this link to read more about this course.
  • Applied Statistics, Part 2 (remote course)
    • This ten-hour course will cover methods of simple linear regression, goodness-of-fit tests and the analysis of contingency tables. It will provide an introduction to the ANOVA methods and to non-parametric mathods commonly used in statistics. Please follow this link to read more about this course.
  • Introduction to Applied Statistics (remote course)
    • This ten-hour course will cover the main methods of interval estimation for means and proportions, sample size estimations, simple linear regression, contingency tables and ANOVA methods. The emphasis will be on the applied side, with illustrative exercises and discussion of the methods without entering in the details of their mathematical justification. Please follow this link to read more about this course.
  • Introduction to Python for Applied Statistics (remote course)
    • This ten-hour course will cover the main methods of applied statistics with a focus on writing taylored python scripts to solve the exercises. Please follow this link to read more about this course.

Each of these courses could be delivered in compact form (two days per course) or as traditional lecture series with weekly appointments. If you would like to book one of these courses for a closed group of people, please contact me at angelo.valleriani@mpikg.mpg.de

Everyone interested is welcome to join and attend the courses. At present there are no dates fixed for the courses listed above. If you intend to take anyone of these courses or you want to be informed via email about changes in the schedule, please register here.