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SUMMARY:Getting Started with R and Data Analysis
DESCRIPTION:Getting Started with R and Data Analysis\n \nOverview\nAr
e you tasked with analysing data, or are you about to be? Have you bee
n using proprietary data analysis tools and would like to explore open
source? If so, you are in for a treat as we introduce you to the most
popular and rapidly growing open source statistical package R.\nIn th
is course you will learn how to use R for effective data analysis, how
to install and configure software necessary for a statistical program
ming environment, learn and practice R programming language concepts,
common and useful R commands. You will learn to use R for reading data
, writing functions, making informative graphs, and applying basic sta
tistical methods. Course is designed for people who are just starting
with R as well as for data analysts who are switching to R from other
statistical software, such as SAS or SPSS.\nWho Should Attend This Wo
rkshop? \nThe workshop is aimed at business professionals, data anal
ysts, technologists, journalists, software developers, academics and s
tudents who already have some basic competence in using statistics but
wish to begin using R for the first time. \nPrerequisites \nBasic k
nowledge of statistics and programming languages. \n \nLearning Outc
omes \n\nOverview and introduction to R\nGetting started and working
with data\nBasic data types and operations\nData Frames\nImporting, sa
ving, exporting, and re-using data\nCommon R functions for numbers, fa
ctors, text, and dates\nVector-oriented computation\nSorting, ranking,
and printing\n\n\nReading and writing data with R\nReading tables and
CSV files, row and column headers, delimiters. Built-in data.\nCleani
ng and transforming data\n\n\nProgramming efficiently in R\nWriting R
scripts and functions\nLoops and conditions\nFlow control, functions a
nd classes in R, executing R scripts from GUI and command line\n\n\nVi
sualizing data and Exploratory Data Analysis\nBasic data summary funct
ions/ summary statistics\nExploring and plotting relationships between
variables\nVisualizations for categorical and continuous data, scatte
r plots, box plots, pie charts, histograms, bar plots, dot charts, and
the char object.\n\n\n\nPlease visit Event Page for details and regi
stration. http://www.eventbrite.co.uk/e/getting-started-with-r-and-da
ta-analysis-london-b104-registration-11215823831?aff=eorg\n\nFor more
information visit https://www.datasciencecentral.com/events/getting-st
arted-with-r-and-data-analysis
DTSTART;TZID=Pacific/Gambier:20140815T000000
DTEND;TZID=Pacific/Gambier:20140815T235900
CATEGORIES:workshop
LOCATION:Level 39, London
WEBSITE:http://www.eventbrite.co.uk/e/getting-started-with-r-and-data-
analysis-london-b104-registration-11215823831?aff=eorg
URL:http://www.eventbrite.co.uk/e/getting-started-with-r-and-data-anal
ysis-london-b104-registration-11215823831?aff=eorg
CONTACT:
ORGANIZER:The School of Data Science
ATTACH;FMTTYPE="image/jpeg":http://storage.ning.com/topology/rest/1.0/
file/get/2852525879?profile=original
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=ACCEPTED;RSVP=TRUE;CN="Ali Syed
":https://www.datasciencecentral.com/profile/AliSyed
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