Online Training R for Statistics and Machine Learning by Project by Udemy

Get yourself trained on R for Statistics with this Online Training R for Statistics and Machine Learning by Project.

Online Training R for Statistics and Machine Learning by Project

R Programming for Statistics and Data ScienceR Programming is a skill you need if you want to work as a data analyst or a data scientist in your industry of choice. And why wouldn’t you? Data scientist is the hottest ranked profession in the US.But to do that, you need the tools and the skill set to handle data.R is one of the top languagesto get you where you want to be. Combine that withstatistical know-how, and you will be well on your way to your dream title. This course is packing all of this, and more, in one easy-to-handle bundle, and its the perfect start to your journey.So, welcome to R for Statistics and Data Science!R for Statistics and Data Science is the course that will take you from a complete beginner in programming with R to a professional who can complete data manipulation on demand. It gives you the complete skill set to tackle a new data science project with confidence and be able to critically assess your work and others. Laying strong foundationsThis course wastes no time and jumps right into hands-on coding in R. But dont worry if you have never coded before, we start off light and teach you all the basics as we go along! We wanted this to be an equally satisfying experience for both complete beginners and those of you who would just like a refresher on R.

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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.