The Success Blueprint – Missing Keys for Manifestation

3418530641

R programming becomes more and more popular since it is fully open source and reacts very dynamic to new developments. Learn programming language R, from the very basics to complex modeling. This course covers regression, classification, clustering, reading data, programming basics, visualization, data munging, modern machine learning and more. This course is meant to give you an introductory understanding of the R language.Nowadays it is vital in many scientific or other analytical fields to have a good understanding of the R language. With this course you can build a very solid foundation to later on branch out to the various applications R has to offer. This course is designed for beginners that have no previous R programming experience. You will require a fundamental understanding of statistics to get the most out of 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. You will start by learning how to install and navigate R studio. Learn Data/Object Types and Operations, Importing into R, and Loops and Conditions. you will be introduced to the use of R in Analytics, where you will learn a little about each object type in R and use that in Data Mining/Analytical Operations. learn the use of R in Statistics, using R to evaluate Descriptive Statistics, Probability Distributions, Hypothesis Testing, Linear Modeling, Generalized Linear Models, Non-Linear Regression, and Trees. Learn to create 2-dimensional Univariate and Multi-variate plots. You will also learn about formatting various parts of a plot, covering a range of topics like Plot Layout, Region, Points, Lines, Axes, Text, Color and so on.Once you have completed this computer based training course, you will be fully capable of using R for developing statistical software and data analysis tools.

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