R is an open source Statistical Computing Environment and R Studio is IDE which use R for Data Science and Analytics.
Increased number of organizations are migrating statistical & data analytics to R and are looking for analytics professionals and Data Scientist who have R experience.

In a job interview, the organizations will be testing candidates for Logical Thinking, knowledge of Statistical & Machine Learning Techniques and R/R Studio skills.
Depending on the role and expectations, the mix of questions will vary. Some of the questions which could be asked to the candidates for evaluating R programming skills are
- What are the different data types in R?
- What is different between Matrix and Data Frame in R?
- Why do you need apply() family of functions? What is difference between sapply() and lapply()?
- How do you import data into R?
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