The R Foundation, a nonprofit focused on supporting the continued development of R through the R Project, describes R as “a language and environment for statistical computing and graphics.” But, if you’re awake to R for data science, you probably know it’s a lot more than that. R Developer Course has been designed after consulting some of the best professionals in the industry and the faculties teaching at the best of the colleges.
The question arises which are the various fields that are using R and making it the recent topic it is. The careers in R Programming which will lead to your ‘R’ enlightenment are as below:
- R programmer
- Data Scientist
- Data Analyst
- Data Architect
R Programmer– the job of R programmers is to use their programming skills and knock down the data and create tools that can ease the process of data analysis. They use data structures like vectors, matrices, and data frames which help in quick and efficient development.
Data Scientist– this is one of the paths which is in demand for R programmers. A data scientist has the responsibility for designing and implementing layouts for large data sets, data modeling, data mining, research purposes, and prediction.
Data Analyst– a data analyst should be a combination of technical and analytical knowledge. A data analyst should be the one who is well-versed in finding, retrieving, wrangling, and delivering insights from data. In addition to this, a DA should have in-depth information regarding a database system and machine learning.
Data Architect– Many domains nowadays are in need of data architects. Data architects integrate and maintain their data sources. They must be in line with the latest technologies like Spark to stay relevant. Also, a data architect must be aware of data warehousing solutions, database architecture, ETL and BI tools, data modeling, and system development.
