UDEMY_STATISTICS_WITH_R_BEGINNER_LEVEL_TUTORIAL-kEISO

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Appz

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kEISO

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1,96 GB

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45

Date

2017-03-08

NFO

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  ▀▓████▀▓█▀ ▀▓▀                                               ▀▓  ▀█▓▀████▓▀
 █ ▀█▓▓██▄▄██    TITLE: Statistics with R - Beginner Level        ██▄▄██▓▓█▀ █
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 █▀ ▐█▓███▓█░                                                     ░█▓███▓█▌ ▀█
 █▀ ▐██████▌     PUBLISHER..........: UDEMY                        ▐██████▌ ▀█
 █▀ ▀▀████▓      LINK...............: https://v.gd/8znCUT           ▓████▀▀ ▀█
 ▌ ▓██▌▄ ▀▀      AUTHOR.............: Bogdan Anastasiei             ▀▀ ▄▐██▓ ▐
 ▌▐███░▒███▌     LEVEL..............: Beginner Level               ▐███▒░███▌▐
 ▌ ████▓████     RUNTIME............: 169 minutes                  ████▓████ ▐
 █ ▐▓█▀█████░    LANGUAGE...........: ENGLISH                     ░█████▀█▓▌ █
 █▀ ▀▄█▄▄▀▀█▓    RELEASE TYPE.......: RETAIL                      ▓█▀▀▄▄█▄▀ ▀█
 █▀▄ ▄▀███▓▄     RELEASE FORMAT.....: ISO                          ▄▓███▀▄ ▄▀█
 █▀█ ▐▓▄▀████    STORE DATE:........: 2016.03.14                  ████▀▄▓▌ █▀█
 █▀█ ▐█▌▓██▓     RELEASE DATE.......: 2017.03.08                   ▓██▓▐█▌ █▀█
 ▓▀█ ▓▌░██▓      ISO SIZE...........: 2,107,959,296                 ▓██░▐▓ █▀▓
 ▒▀█ █ ▓█▓       ISO CHECKSUM.......: 5486A234                       ▓█▓ █ █▀▒
 ░ █ ▌░██        DISKCOUNT..........: 43 * 50MB                       ██░▐ █ ░
   ▓█▌▓█▌        SAVED MONEY........: YOU DID!                          ▐█▓▐█▓
 ░ ▒█▐██         DISKNAME...........: keiso_uswrbl                     ██▌█▒ ░
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█▀  ▓░  ▄ █▄▌██ ▄ ▀ ▀█▌▐▓▀         TUTORIAL          ▀▓▌▐█▀ ▀ ▄ ██▐▄█ ▄  ░▓  ▀█
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 █▀█ ▄▓  ▄ ▐▌                                                     ▐▌ ▄  ▓▄ █▀█
 █▀█ █▓ ▄▓▄▀ If you want to learn how to perform the basic         ▀▄▓▄ ▓█ █▀█
 █▀█ ▓▒  ▒  statistical analyses in the R program, you have          ▒  ▒▓ █▀█
 █▀█ ▒░  ░  come to the right place.                                 ░  ░▒ █▀█
 ▓▀█ ▒░                                                                 ░▒ █▀▓
 ▒▀█ ░▓ Now you donÆt have to scour the web endlessly in              ▓░ █▀▒
 ░ █  ▒  order to find how to compute the statistical                   ▒  █ ░
   ▓  ░  indicators in R, how to build a cross-table, how to            ░  ▓
 ░ ▒  ░  build a scatterplot chart or how to compute a simple           ░  ▒ ░
   ░  statistical test like the one-sample t test. Everything is here,  ░
   ░  in this course, explained visually, step by step.                 ░
   ░                                                                    ░
   ░ So, what will you learn in this course?                            ░
   ░                                                                    ░
   ░ First of all, you will learn how to manipulate data in R, to       ░
   ░  prepare it for the analysis: how to filter your data frame, how   ░
   ░  to recode variables and compute new variables.                    ░
   ░                                                                    ░
   ░ Afterwards, we will take care about computing the                  ░
   ░  main statistical figures in R: mean, median,                      ░
   ░  standard deviation, skewness, kurtosis etc., both                 ░
   ░  in the whole population and in subgroups of the                   ░
   ░  population.                                                       ░
   ░                                                                    ░
   ░ Then you will learn how to visualize data using tables and         ░
   ░  charts. So we will build tables and cross-tables, as well as      ░
   ░  histograms, cumulative frequency charts, column and mean plot     ░
   ░  charts, scatterplot charts and boxplot charts.                    ░
   ░                                                                    ░
   ░ Since assumption checking is a very important part of any          ░
   ░  statistical analysis, we could not elude this topic. So           ░
   ░  weÆll learn how to check for normality and for the presence of  ░
   ░  outliers.                                                         ░
   ░                                                                    ░
   ░ Finally, we will perform some basic, one-sample                    ░
   ░  statistical tests and interpret the results. IÆm                ░
   ░  talking about the one-sample t test, the binomial                 ░
   ░  test and the chi-square test for goodness-of-fit.                 ░
   ░                                                                    ░
   ░ So after graduating this course, you will know how to              ░
   ░  perform the essential statistical procedures in the R program.    ░
   ░  Soà enroll today!                                               ░
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 ▌  ▀█▓ ▄▓▄▀       BBL - DDU - EEn - iNTENSiTY - JGT - RBS         ▀▄▓▄ ▓█▀  ▐
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 █▀▄ ▓██▄         DVT - FONT - iRONiSO - LAXiTY - PARADOX - SO        ▄██▓ ▄▀█
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      ▀ ▄▄    ▀▀▀▀▀▀▀   ▄▌  ▀▄▄▄▀ ▀▀▀▄ ▀ ▄▀▀▀ ▀▄▄▄▀  ▐▄   ▀████▀▀ ▄▄ ▄▄ ▀
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                ▀▀▀▀▀▀▀▀██▓▓░░  ▄  ▀ ▐ ▓ ▌ ▀  ▄  ░░▓▓██▀▀▄ H7/BREAK ▄▀
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