The R tool is an open source framework, which grew as a result of a strong push by Google. Today, R is poised to overtake SAS as the most widely used tool in statistical analysis. R is the best language to begin with on the journey to learning and exploring Data Science and Machine Learning
Duration : 18 hours
Pricing : ₹9,000 / $120
Mode : Classroom instructor led / Live web (Cisco WebEx)
R is built for statistical analysis. Ignoring Data Science and Machine Learning applications for which it is primariily used; R has a robust set of productional tools, and if the work is mainly statistical, R is what is preferred.
A huge advantage for using R is the R + Rstudio ecosystem, one can start installing packages, and begin working within a couple of minutes. Experience using the command line or changing paths in the terminal to deal with version conflicts is not required. For individuals without a lot of programming experience or a background in computer science, it is the the way to go.
With over 20,000 packages currently available, it has near limitless potential for business application.
Prerequsites : Any undergraduate either completed or pursuing
Suggested pairings :
- SPD-500 Python and R for Data Science
- SPD-105 Statistics for Data Science
- NRF-800 Data Science Essentials with Gretl
The 6 sub-modules of R Fundamentals is as follows :
- Whitespace Formatting
- Control Flow
- Reading from and writing to data files on disk
- List Compressions
- Generators and Iterators
- Regular Expressions
- Object Oriented Programming