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SUMMARY:Learning the R Language: A Workshop for Beginners
DESCRIPTION: \n\nLearning the R Language: A Workshop for Beginners\n\nR is 
 becoming one of the most popular tools for data analysis\,\ncombining the 
 flexibility of a programming language with a wide\nvariety of data manipul
 ation and analysis tools. It can be challenging\nto learn\, however\, espe
 cially for those who are new to programming.\nUsing a hands-on approach\, 
 this workshop will push novices up the\nsteepest part of the learning curv
 e. By the end of the session\,\nparticipants will:\n\n * Understand the da
 ta types in R: numeric\, logical\, character and\nfactor\n * Work with the
  fundamental data structures in R: vectors and data\nframes\n * Use sequen
 ces and indexing to select data from vectors and data\nframes\n * Get data
  in and out of R\n * Compute descriptive statistics\n * Construct basic pl
 ots\n * Calculate crosstabs using table()\, by()\, aggregate()\n * Perform
  and interpret linear regression including R’s formula\nnotation\n\nThis
  content gets participants through the most frustrating and\nconfusing asp
 ects of R and provides the foundation they need to learn\nother R function
 ality on their own. Participants are expected to type\ncommands and inspec
 t results using their own computers. Workshop\nmaterial is based on Chapte
 rs 1-3 and 7 of the book R for Marketing\nResearch. Slides and code for al
 l chapters from the book are available\nonline.\n\nABOUT THE INSTRUCTOR:\n
 \nElea McDonnell Feit\, PhD\, is an Assistant Professor of Marketing at\nD
 rexel University’s LeBow College of Business and a Senior Fellow of\nMar
 keting at The Wharton School at the University of Pennsylvania. Her\nresea
 rch focuses on leveraging customer data to make better product\ndesign and
  advertising decisions\, particularly when data is\nincomplete\, unmatched
  or aggregated. Much of her career has focused on\ndeveloping new quantita
 tive methods and bringing them into practice\,\nfirst working in product d
 esign at General Motors\, then\ncommercializing new methods at the marketi
 ng analytics firm\, The\nModellers\, and most recently as the Executive Di
 rector of the Wharton\nCustomer Analytics Initiative\, where she built the
  academic-industry\npartnership program. She brings a rich understanding o
 f industry\nproblems to her research\, which has been published in Managem
 ent\nScience and the Journal of Marketing Research. She enjoys making\nana
 lytics and statistics accessible to a broad audience and has\nrecently co-
 authored a book\, R for Marketing Research and Analytics\,\nwith Chris Cha
 pman. She regularly teaches popular tutorials and\nworkshops for practitio
 ners on digital marketing\, marketing\nexperiments\, marketing analytics i
 n R\, discrete choice modeling and\nhierarchical Bayes methods\, as well a
 s undergraduate\, MBA and MS\nBusiness Analytics classes at Drexel LeBow a
 nd Wharton. She holds a\nPhD in Marketing from the University of Michigan\
 , an MS in Industrial\nEngineering from Lehigh University\, and a BA in Ma
 thematics from the\nUniversity of Pennsylvania.\n\nCONTACT DIANA JONES\, D
 EJ36@DREXEL.EDU\, FOR A CORPORATE PARTNER\nREGISTRATION DISCOUNT.\n 
DTSTART:20170505T170000Z
DTEND:20170505T210000Z
LOCATION:Gerri C. LeBow Hall\, 3220 Market Street\, TBD\, Philadelphia\, PA
  19104
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