Data Analysis and Statistics using R, beginner level (booked out)

Who should come

Doctoral students working on empirical research projects or planning to do so, who need to analyze data statistically. Participants with no programming experiences are addressed. It will be an applied course making use of the statistics programme R and the development suite RStudio.
 
Content

The aim of this workshop is to provide an up-to-date practical approach to data analysis techniques and statistics. Focus will be laid on direct applications and examples.You will learn to adapt the concepts to your own research project.

The workshop begins with an introduction to R and RStudio. Based on practical examples the statistics program RStudio will be used to visualize and analyze the data, the results will be displayed using R as well. Basic programming steps will be explained, data processing will be exercised and statistical methods discussed.  Based on the needs and presentations of the participants, individual topics can be addressed.
 
The workshop will help you to

• Use R and RStudio to solve simple statistical problems
• Create and handle vectors and data frames
• Import and export csv files
• Understand why packages are helpful
• Visualize data
• Describe your data using statistics
• Enhance R-programming efficiency
• Get started using R

 
Requirements

Participants are required to give a short presentation of their research project and how they intend to use R (max. 3 minutes). You need to have your own laptop for the workshop and have R and RStudio preinstalled. If you have problems installing R or RStudio, please contact in advance ralf.hurst@fridata.de for assistance.

Workshop times

09:00-17:00

Number of participants

min 8, max 15

Facilitator

Ralf Durst www.fridata.de

Registration

This course is booked out.