Error loading page.
Try refreshing the page. If that doesn't work, there may be a network issue, and you can use our self test page to see what's preventing the page from loading.
Learn more about possible network issues or contact support for more help.

Beginning Data Science in R

Data Analysis, Visualization, and Modelling for the Data Scientist

ebook
1 of 1 copy available
1 of 1 copy available
Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.
Beginning Data Science in R details how data science is a combination of statistics, computational science, and machine learning. You'll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this. 
This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming. 
What You Will Learn
  • Perform data science and analytics using statistics and the R programming language
  • Visualize and explore data, including working with large data sets found in big data
  • Build an R package
  • Test and check your code
  • Practice version control
  • Profile and optimize your code

  • Who This Book Is For
    Those with some data science or analytics background, but not necessarily experience with the R programming language.
    • Creators

    • Publisher

    • Release date

    • Formats

    • Languages

    Formats

    • Kindle Book
    • OverDrive Read
    • EPUB ebook

    Languages

    • English

    Loading
    Check Out What's Being Checked Out Right NowThe Ohio Digital Library is a program of the State Library of Ohio and is supported in whole or in part by federal Institute of Museum and Library Services funds, awarded to the State Library of Ohio.