Get yourself trained on R Programming from with this Online Training R Programming from Scratch for Data Science- Step by Step.
Online Training R Programming from Scratch for Data Science- Step by Step
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:R IntroductionR Variables and OperatorsData StructureFunctionsFlow ControlR PackagesImport DataExploring Data With RSoftwares used in CourseR StudioOn course completion, You will be Mastered in R Languageand can implement Successfully it in your work place or willsurelyland on High Paying Job.
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Investing in yourself through Learning
As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.