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.

Upcoming courses:

  • Basic Statistics (remote course, November 7-9, 2022)
    • This ten-hour course should provide a refresh to those who have already taken some statistics course long ago or be used as a scratch course for those who have weak knowledge. Please follow this link to read more about this course.
    • Dates:
      • Monday and Tuesday, November 7 and 8, from 9am to 12pm
      • Wednesday, November 9, from 1pm to 5pm (all times CET).
    • Registration is closed for this course.
       
  • Introduction to Python for Statistics (remote course, starts November 17)
    • This ten-hour course will cover some methods of applied statistics with a focus on writing simple and effective python scripts to analyze datasets and perform statistical analyses. Please follow this link to read more about this course.
    • Dates: Every Thursday starting November 17, 2022.
    • Time: at 10:30am CET.
    • Registration is closed for this course.
       
  • Introduction to Applied Statistics (remote course, February 13-15, 2023)
    • This course will cover the main methods of interval estimation and hypothesis tests for means, proportions and quantiles; 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 mathematical details. Please follow this link to read more about this course.
    • Date: February 13-15, 2023.
    • Time: From 10am to 4pm CEST, including breaks
    • Registration is compulsory. The webform for registration is here.
    • Deadline for registration is January 30, 2023.

Other courses offered here in the future. The courses are complementary and partially 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.

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. If you intend to be informed via email about changes in the schedule, please register here.