rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: R Programming for Statistics and Data Science
  name:
    name part: Careers, 365
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Safari, an O'Reilly Media Company
  type of resource: moving image
  genre: videorecording
  genre: Electronic videos.
  origin info:
    place:
      place term: xx
    date issued: 2018
    edition: 1st edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file, approximately 6 hr., 26 min.)
  abstract: R Programming for data science and data analysis. Apply R for statistics and data visualization with GGplot2 in R About This Video Introductory guide to statistics - descriptive statistics and the fundamentals of inferential statistics Essentials of R-based programming - soar above the average data scientist and boost the productivity of your operations. Data manipulation and analysis techniques - learn to work with R's most comprehensive collection of tools and create meaning-heavy data visualizations and plots. In Detail R Programming is a skill you'll need if you want to work as a data analyst or a data scientist in your industry of choice. And why wouldn't you - data scientist is the hottest ranked profession in the US. But to do that, you need the tools and the skillset to handle data. R is one of the top languages to get you where you want to be. Combine that with statistical know-how, and you will be well on your way to your dream job. This course packs all of this, and more, in one easy-to-handle bundle, and it's the perfect start to your journey. So, welcome to R Programming for Statistics and Data Science, the course that will get you from a complete beginner in programming with R to a professional who can complete data manipulation on demand. It gives you the complete skillset to tackle any new data science project with confidence and critically assess your work and other people's. Practicability is the key to this course, Using R, you have a wide variety of options where you can take the code provided within this course and expand on it in any number of directions. You'll reinforce your learning through numerous practical exercises.
  note: Careers, 365.
  note: Videorecording.
  note: Electronic reproduction. Boston, MA : Safari, Available via World Wide Web. 2018.
  note: Mode of access: World Wide Web.
  identifier: 9781789950298
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record creation date: 151018
    record change date: 20260123230305.3
    record identifier: in00004262254