Get yourself trained on R Programming: Advanced with this Online Training R Programming: Advanced Analytics In R For Data Science.
Online Training R Programming: Advanced Analytics In R For Data Science
Ready to take your R Programming skills to the next level?Want to truly become proficient at Data Science and Analytics with R?This course is for you!Professional R Video training, unique datasets designed with years of industry experience in mind, engaging exercises that are both fun and also give you a taste for Analytics of the REAL WORLD.In this course you will learn:How to prepare data for analysis in RHow to perform the median imputation method in RHow to work with date-times in RWhat Lists are and how to use themWhat the Apply family of functions isHow to use apply(), lapply() and sapply() instead of loopsHow to nest your own functions within apply-type functionsHow to nest apply(), lapply() and sapply() functions within each otherAnd much, much more!The more you learn the better you will get.After everymodule you will already have a strong set of skills to take with you into your Data Science career.
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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.