De Meest Voordelige Opleider van Nederland
Award winning E-Learning & Gecertificeerde Trainers
Upgrade uw cv met een certificaat van deelname van OEM
SpringestMicrosoft PartnerEC-CouncilOfferte Aanvragen
0

Tip: we verzorgen onze trainingen tegenwoordig ook VirtueelTip: we verzorgen onze trainingen tegenwoordig ook VirtueelKlik hier voor meer informatie

Tip: we verzorgen onze trainingen tegenwoordig ook VirtueelTip: we verzorgen onze trainingen tegenwoordig ook VirtueelKlik hier voor meer informatie

R Introduction to R Programming E-Learning

Product description
Introduction to R Programming E-Learning Order this unique E-Learning course Exploring Machine Learning online, 1 year 24/7 access to rich interactive videos, speech, progress monitoring through reports and tests per chapter to test the knowledge directly. Course content Introduction start the courseinstall R in Microsoft Windowsinstall the RSt...

Introduction to R Programming E-Learning

Order this unique E-Learning course Exploring Machine Learning online, 1 year 24/7 access to rich interactive videos, speech, progress monitoring through reports and tests per chapter to test the knowledge directly.

Course content

Introduction

start the course
install R in Microsoft Windows
install the RStudio IDE
navigate the R Console within the RStudio IDE
use the syntax for if-else, operators, loops, and the apply function in R
create and manipulate basic data types including numeric and string variables
use the vector and matrix types in R
install and use packages from the Comprehensive R Archive Network (CRAN)
create reusable user-defined functions in R
use the random number generator in R to generate single random numbers, random samples, and other random variates using the norm and binom functions

Debugging

use traceback and debug to track down errors in your R code
use the browser and recover functions to find bugs in R

Data Handling

read input and format output using the Console in R
import data from a CSV file in R
import data from an Excel spreadsheet in R
handle missing or unknown values in data problems in R
use the built-in examples to understand R functions

Basic Statistics

use the mean function in R
use the median function in R
use the mode function in R
use R to measure the spread and dispersion in a dataset
use R to measure the median absolute deviation
use R to measure covariance and correlation between two different datasets
use the R table function to cross tabulate data

Visualizing Data

use R to create pie charts from datasets
use R to create bar plots from datasets
use R to create box plots from datasets
use R to create histograms from datasets
use R to create line plots from datasets
use R to create scatter plots from datasets
use R to export graphics such as charts and plots for use in other software
Practice: Introduction to R Programming

understand the basics of the R statistical programming language

Product specifications

Availabilty
3 hours
Language
English
Certificate of participation
Yes
Online access
365 days

Reviews

0 / 5Based on 0 reviews

There are no reviews written yet about this product..

Create your own review

Eerder bekeken door jou

R Introduction to R Programming E-Learning
RIntroduction to R Programming E-Learning

Order this unique E-Learning course Introduction to R Programming online, 1 year 24/7 access to rich interactive videos, progress through reporting and testing.

€159,00 Excl. tax
Please accept cookies to help us improve this website Is this OK? YesNoMore on cookies »