logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Doing Data Science In R An Introduction For Social Scientists 1st Edition Mark Andrews

  • SKU: BELL-24105686
Doing Data Science In R An Introduction For Social Scientists 1st Edition Mark Andrews
$ 31.00 $ 45.00 (-31%)

4.3

48 reviews

Doing Data Science In R An Introduction For Social Scientists 1st Edition Mark Andrews instant download after payment.

Publisher: SAGE Publications Ltd
File Extension: EPUB
File size: 27.42 MB
Pages: 640
Author: Mark Andrews
ISBN: 9781526486776, 1526486776
Language: English
Year: 2021
Edition: 1

Product desciption

Doing Data Science In R An Introduction For Social Scientists 1st Edition Mark Andrews by Mark Andrews 9781526486776, 1526486776 instant download after payment.

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually.
This book:

  • Focuses on providing practical guidance for all aspects, helping readers get to grips with the tools, software, and statistical methods needed to provide the right type and level of analysis their data requires
  • Explores the foundations of data science and breaks down the processes involved, focusing on the link between data science and practical social science skills
  • Introduces R at the outset and includes extensive worked examples and R code every step of the way, ensuring students see the value of R and its connection to methods while providing hands-on practice in the software
  • Provides examples and datasets from different disciplines and locations demonstrate the widespread relevance, possible applications, and impact of data science across the social sciences

Related Products