Get yourself trained on R programming from with this Online Training R programming from Scratch & Practice Case Studies workout.
Online Training R programming from Scratch & Practice Case Studies workout
What is this course about? This course helps student learn R syntax for Import / Enter / Viewing data and metadata in R Conduct Frequency Distribution Analysis / Univariate Analysis in R Create derived variables Merge / Append data sets Sort / Subset data sets Learn to substring variables Create cross tab analysis conduct Linear Regression analysisPractice case studies Terminology associated with the course R syntax Data Mining Analytics Machine Learning Material for the course 20 HD Videos Excel Data sets PDF of presentation R code How long the course should take? Approximately 4 hours to internalize the concepts How is the course structures Section 1 – explains how to get R, R Studio, Understand environment and data for workout Section 2 – explains the R syntax through examples Section 3 – explains some other syntax needed for working Section 4 – Practice Case Studies – apply your knowledge to solve business problems Why take this course? This course ensure quick learning in a simplified way. It explains the most important aspects of working on data and conduct analysis through example.
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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.