Get yourself trained on Statistics for Data with this Online Training Statistics for Data Analysis Using R.
Online Training Statistics for Data Analysis Using R
Perform simple or complex statistical calculations using R Programming! – You don’t need to be a programmer for this :)Learn statistics, and apply these concepts in your work place using R.The course will teach you the basic concepts related to Statistics and Data Analysis, and help you in applying these concept. Various examples and data-sets are used to explain the application.I will explain the basic theory first, and then I will show you how to use R to perform these calculations.Following areas of statistics are covered:Descriptive Statistics – Mean, Mode, Median, Quartile, Range, Inter Quartile Range, Standard Deviation. (Using base R function and the psych package)Data Visualization – 3 commonly used charts: Histogram, Box and Whisker Plot and Scatter Plot (using base R commands)Probability – Basic Concepts, Permutations, Combinations (Basic theory only)Population and Sampling – Basic concepts (theory only)Probability Distributions – Normal, Binomial and Poisson Distributions (Base R functions and the visualize package)Hypothesis Testing – One Sample and Two Samples – z Test, t Test, F Test, Chi Square TestANOVA – Perform Analysis of Variance (ANOVA) step by step doing manual calculation and by using R.
Udemy helps organizations of all kinds prepare for the ever-evolving future of work. Our curated collection of top-rated business and technical courses gives companies, governments, and nonprofits the power to develop in-house expertise and satisfy employees’ hunger for learning and development.
Learn on your schedule with Udemy
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.