Kaisa_2012_3_photo by Veikko Somerpuro

Enrol
26.1.2020 at 10:00 - 9.4.2020 at 15:00

Timetable

Here is the course’s teaching schedule. Check the description for possible other schedules.

DateTimeLocation
Thu 9.4.2020
12:00 - 15:00
Thu 16.4.2020
09:00 - 12:00
Thu 23.4.2020
09:00 - 12:00
Thu 7.5.2020
12:00 - 15:00
Thu 14.5.2020
12:00 - 15:00

Description

PLEASE NOTE THIS COURSE WILL BE TAUGHT EXCLUSIVELY ONLINE!

Skills and theoretical knowledge to perform central statistical analyses with R

To be completed at any time during doctoral studies

In computer environment such analyses as basic descriptive statistics, cross-tabulation analyses, t-tests, analysis of variance, analysis of covariance, linear regression analysis, logistic regression analysis, Cox regression analysis, principal component or factor analysis, item analysis, non-parametric methods (e.g., Mann-Whitney, Wilcoxon, Kruskall-Wallis, Friedman), effect size.

Both onsite and distant learning (the latter as live-streamed with Zoom. The onsite seats in computer class for 25 persons + a few more with own laptop. Completion according to a report which comprises a few statistical analyses based on the data and assignments provided by the teacher (in English, Finnish or Swedish). Participants may also use their own data. Evaluation: pass / fail.

The essential materials are available at this course website. Various digital materials are used.

Pass/Fail

The most updated info, see the Moodle website https://moodle.helsinki.fi/course/view.php?id=36706

25 students may study in the computer class, the rest may follow the course live elsewhere with Zoom tool. Statistical analyses with the given data sets by using R. The corresponding statistical theory is also presented.

Adjunct Prof. Vesa A. Niskanen, MSc Juho Valtiala.