R (R Programming) is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible.
In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.
In this course, you will learn:
Softwares used in Course
On course completion, You will be Mastered in R Language and can implement Successfully it in your work place or will surely land on High Paying Job
Trainer, has a Masters Degree in computer science from a top-notch college with around 10 years of experience in the IT industry. He has successfully designed and implemented projects for clients in USA, Uk and Singapore. Currently he is working in a Fortune 500 Company as an Architect.
Here, he is to train and groom students through efficacious pedagogy and modern teaching tools, to get employed with great skills required to work anywhere in the world.