Mastering Research Data Analysis with R

To participate in the workshop, please click here.

Expected outcomes:

  • Gain a solid understanding of R programming fundamentals.
  • Learn the basics of data analysis using R libraries like dplyr and ggplot2.
  • Develop the ability to use R for various data analysis and visualization tasks.
  • Gain hands-on experience using RStudio as your development environment.
  • Be prepared to tackle real-world data analysis projects after building a foundational skillset.
  • Develop in-demand skills valuable in the field of data analysis.
  • Complete data analysis for research projects, including tasks related to correlation, regression, logistic regression, and ANOVA

Targeted group:

  • Data Analysts/Data scientist: Looking to expand their skills by learning R for data analysis.
  • Students: Interested in starting a career in data analysis or data science and want to learn the basics using R.
  • Researchers and Scholars: Who need to analyze data for their thesis, research projects, or academic papers.
  • Educators and Teachers: Who want to incorporate data analysis and visualization into their curriculum or learn R as a tool for teaching data analysis/science.
  • Business Professionals: Who need to analyze data for their work and want to learn a powerful and versatile programming language for data analysis.

Course duration :

30 hours

Prior knowledge of python:

Not required

Teaching method:

Theoretical and hands-on sessions

Last updated on Jul 25, 2024