UDEMY_R_PROGRAMMING_LEARN_R_FROM_SCRATCH_TUTORIAL-kEISO

Section

Appz

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kEISO

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713,26 MB

Files

17

Date

2015-07-13

NFO

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  ▀▓████▀▓█▀ ▀▓▀                                               ▀▓  ▀█▓▀████▓▀
 █ ▀█▓▓██▄▄██    TITLE: R Programming - Learn R from Scratch      ██▄▄██▓▓█▀ █
 █▀ ▐█▒▓██░██                                                     ██░██▓▒█▌ ▀█
 █▀  █▓███▒█▌                                                     ▐█▒███▓█  ▀█
 █▀ ▐█▓███▓█░                                                     ░█▓███▓█▌ ▀█
 █▀ ▐██████▌     PUBLISHER..........: UDEMY                        ▐██████▌ ▀█
 █▀ ▀▀████▓      LINK...............: http://is.gd/RnzKkC           ▓████▀▀ ▀█
 ▌ ▓██▌▄ ▀▀      AUTHOR.............: iCodeiLearn Academy           ▀▀ ▄▐██▓ ▐
 ▌▐███░▒███▌     LEVEL..............: all level                    ▐███▒░███▌▐
 ▌ ████▓████     RUNTIME............: 5 hours                      ████▓████ ▐
 █ ▐▓█▀█████░    LANGUAGE...........: ENGLISH                     ░█████▀█▓▌ █
 █▀ ▀▄█▄▄▀▀█▓    RELEASE TYPE.......: RETAIL                      ▓█▀▀▄▄█▄▀ ▀█
 █▀▄ ▄▀███▓▄     RELEASE FORMAT.....: ISO                          ▄▓███▀▄ ▄▀█
 █▀█ ▐▓▄▀████    STORE DATE:........: 2015.07.08                  ████▀▄▓▌ █▀█
 █▀█ ▐█▌▓██▓     RELEASE DATE.......: 2015.07.13                   ▓██▓▐█▌ █▀█
 ▓▀█ ▓▌░██▓      ISO SIZE...........: 747,894,784                   ▓██░▐▓ █▀▓
 ▒▀█ █ ▓█▓       ISO CHECKSUM.......: 823CA3D1                       ▓█▓ █ █▀▒
 ░ █ ▌░██        DISKCOUNT..........: 15 * 50MB                       ██░▐ █ ░
   ▓█▌▓█▌        SAVED MONEY........: YOU DID!                          ▐█▓▐█▓
 ░ ▒█▐██         DISKNAME...........: keiso_urplrfs                    ██▌█▒ ░
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█▀  ▓░  ▄ █▄▌██ ▄ ▀ ▀█▌▐▓▀         TUTORIAL          ▀▓▌▐█▀ ▀ ▄ ██▐▄█ ▄  ░▓  ▀█
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 █▀█ ▄▓  ▄ █▀▀                                                   ▀▀█ ▄  ▓▄ █▀█
 █▀█ ▄▓  ▄ ▐▌                                                     ▐▌ ▄  ▓▄ █▀█
 █▀█ █▓ ▄▓▄▀ 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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      ▀ ▄▄    ▀▀▀▀▀▀▀   ▄▌  ▀▄▄▄▀ ▀▀▀▄ ▀ ▄▀▀▀ ▀▄▄▄▀  ▐▄   ▀████▀▀ ▄▄ ▄▄ ▀
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                ▀▀▀▀▀▀▀▀██▓▓░░  ▄  ▀ ▐ ▓ ▌ ▀  ▄  ░░▓▓██▀▀▄ H7/BREAK ▄▀
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