Data Science with R




About Course


Master the knowledge and skills you need to program in R, one of the top programming languages for data science, and make yourself ready for a career in this ever-growing field. R is an open source programming language and a powerful tool used widely by statisticians and data miners for developing statistical software and data analysis.


Benefits

  • Trainers with more than a decade of Industry Expertise.
  • Our emphasize is more on practical based learning. 
  • 24X7 support
  • We are associated with 500+ corporates.
  • Standout performers will be projected for placements in these corporates based on requirements.
  • Every session will be recorded and will be available on our LMS (Learning Management System) and students will have life time access to it. 
  • We provide Interview Guidelines to help in better understanding of industry requirements and expectations. 
  • Our trainings are available online and offline mode.
  • We focus and prefer Instructor Led Live training programs.
  • Assessments will there on weekly basis. Pre and post training assessment are included to rate yourself after the learning.
  • Course Completion Certificate will be provided.

Why should I take this course?

R's syntax makes it easy to create complex statistical models with just a few lines of code. Since so many statisticians use and contribute to R packages, you're likely to be able to find support for any statistical analysis you need to perform. It's a popular language for data science at top tech firms.

How is R used in Data Science?

R is a programming language: An object-oriented language created by statisticians, R provides objects, operators, and functions that allow users to explore, model, and visualize data.

Can I learn R without any programming experience?

Yes, you can learn R without prior programming knowledge. You’ll learn to analyse your datasets with this course.

Can I practice R and Python at the same time?

You can certainly do both. You can write python code and then call out python functions in R using the reticulate package.



Highlights