Public Health, Versorgungsforschung und HTA

Introduction to Statistics - An Applied 3-Day Hands-On Workshop with R

3-Day Certified Course

23 - 25 October 2024

COURSE OVERVIEW

This 3-day interactive course gives an introduction on how to use the statistical software R. It is a "hands-on" workshop and contains both lectures and practical exercises. Participants learn about the structure of the language R, the creation of professional graphs and how to do basic introductory statistics. To overcome common challenges, a lot of practical advice are given.

The course is aimed at members of:

attendees with a basic knowledge of introductory statistics and prior exposure to statistical software
suitable for anyone with an interest in flexible approaches to data visualization and data analysis
scientists, health care professionals, consultancy organizations and a wide range of industries
PhD, medical and master students

Course Pre-requisites:
Course Language is English. Both native and non-native English speaker scientists are welcome.

THE COURSE COVERS THE FOLLOWING TOPICS:

DAY 1 - How does R think?
- Basics
- Control Structures
- Data Structures

DAY 2 - Descriptive Analyses with R
- Descriptive Statistics
- Standard Graphs
- Advanced Graphs, with and without ggplot2

DAY 3 - Inductive Statistics with R
- Hypothesis Tests
- Linear and Logistic Regression
- Simulations

COURSE DOCUMENTATION

Certificates will be provided to all participants after the course. Students will be accredited 5 ECTS for successfully completing Assignment as well as their attendance and active participation during the attendance time of the course.

ACCOMMODATIONS & DIRECTIONS

There are a number of hotels near the campus. Reservations should be made when you receive your registration and payment confirmation. We have made special arrangements with hotels near the course location. After registration, you will receive more details regarding accommodation via e-mail.

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Cancellation Policy

A full refund of course fees (less 15% administrative charges) will be made for cancellations received in writing at least one month prior to the workshop. Substitutes can be made but please email new delegates details when known. Cancellations made less than one month prior to the course are non-refundable/non-changeable.

In the unlikely event that, due to unforeseen circumstances or insufficient enrollment, the course has to be cancelled by the UMIT, our liability is limited to refund of course fees only. We recommend that delegates have adequate insurance cover to claim any travel or personal expenses.

In case of restrictions due to COVID-19, the course will be held completely online.