Get yourself trained on Simple Linear Regression with this Online Training Simple Linear Regression Basics using R.
Online Training Simple Linear Regression Basics using R
This is an introductory course to Simple Linear Regression, one of the most basic courses in Statistics. This course is most suitable for students of professionals with basic knowledge or beginning level in Statistics and R coding. It also fits for anybody who want to explore the field of statistics using R in any discipline. We will start with an introduction section where I will explain the regression equation with a detailed example. Next, we will cover the essentials of modeling. At this section, I added an emphasis to data cleaning which is essential nowadays with big data issues. Then will follow visualization, modeling and diagnostics. We will be using R studio which is a nice coding open source environment. R studio is suitable for academic and professional needs.This course is important in the sense that data analysis needs are constantly growing with the emerging complexity of data. Quick data driven decisions need to be made at the management level. Data Analytics is the most efficient way to get the most accurate information to make decisions.
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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.