Introduction to Data Analysis and Visualization with R

 

About this course

About this course

The training is intended for researchers from the fields of social sciences and humanities wishing to start working with the software environment for statistical computing and graphics, namely, R. It is currently one of the most popular freeware environments for statistical analysis. Its main advantages are revealed in research reproducibility, wide opportunities of graphical representation and diversity of available statistical methods. Training is interactive and aims to show possible applications of R in the descriptive analysis of quantitative data and graphical representation of analysis results. After the training, participants will be able to start using R independently.

 

You will learn:

Learning outcomes will include skills and knowledge of using the software environment R for statistical analysis and graphics. The training is aimed at researchers in the fields of social sciences and humanities who want to start working with R. The interactive training will demonstrate the application possibilities of R in the fields of quantitative data analysis and creating the visualisations of the results. After completing the training, the participant will be able to work independently with R.

 

ŽVALIAUSKAS Giedrius

phone:
el. p. giedrius.zvaliauskas@ktu.lt

Start date: Upon request
Duration: 8 ac. hrs.
Language: English, Lithuanian
Price: 70 Eur
Method of organisation: On-campus learning
Skill area: Advanced technologies, Digital transformation
Certificate: Issued

MORKEVIČIUS Vaidas

Dr. Vaidas Morkevičius is an associate researcher at the Centre for Data Analysis and Archiving, Faculty of Social Sciences, Humanities and Arts, KTU, and a professor in the research group "Civil Society and Sustainability", Faculty of Social Sciences, Humanities and Arts, KTU. His research interests include: political communication, attitudes and behaviour of citizens and elites, social structure and inequality, social research methods. With Zenonas Norkus, he published the textbook "Qualitative Comparative Analysis" in 2011. Since 2002 he has taught various research methods courses at KTU, VMU and ISM. From 2008-2018 he was the National Coordinator of the European Social Survey in Lithuania. As a co-author, he has contributed to the development of statistical analysis of quantitative data and computer-assisted qualitative data analysis training materials. He has more than 15 years of experience in training and consulting on quantitative data analysis software.

RAULECKAS Rimantas

Dr. Rimantas Rauleckas is Associate Professor at the Centre for Data Analysis and Archiving, Faculty of Social Sciences, Humanities and Arts, KTU. His research area is Public Governance, and his main taught module is Social Research Methods. His research applies statistical analysis methods to survey data. As a co-author, he has contributed to the development of training material on statistical analysis of quantitative data.

 

Skill areas

Digital transformation
sustainable development
advanced technologies
entrepreneurship and innovation
personal development and leadership
 

Contacts

K. Donelaičio St. 73
44249 Kaunas, Lithuania
phone: +370 (671) 36 146
email mvg@ktu.lt