UMN Library

  • Home
  • Library Information
  • Librarian
  • Help on Usage
  • Member Login
  • Select Language :
    Arabic Bengali Brazilian Portuguese English Espanol German Indonesian Japanese Malay Persian Russian Thai Turkish Urdu

Search by :

ALL Author Subject ISBN/ISSN Advanced Search

Last search:

{{tmpObj[k].text}}
Image of Practical statistics for data scientists : 50+ essential concepts using R and Python. Second Edition
Bookmark Share

Text

Practical statistics for data scientists : 50+ essential concepts using R and Python. Second Edition

Bruce, Peter C., 1953 - - Personal Name; Bruce, Andrew - Personal Name; Gedeck, Peter - Personal Name;

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python as well as R-explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.


Availability
#
My Library 005.74 Bru p
26/00300
Available but not for loan - On Process
#
My Library 005.74 Bru p
26/00301
Available but not for loan - On Process
Detail Information
Series Title
-
Call Number
005.74 Bru p
Publisher
Sebastopol, CA : O'Reilly Media., 2020
Collation
xvi, 342 p. ; 24 cm.
Language
English
ISBN/ISSN
9781492072942
Classification
005.74
Content Type
-
Media Type
-
Carrier Type
-
Edition
Second Edition
Subject(s)
Python (Computer program language)
R (COMPUTER PROGRAM LANGUAGE)
Statistics--Data processing
Mathematical analysis--Statistical methods
Quantitative research--Statistical methods
Specific Detail Info
-
Statement of Responsibility
-
Other version/related

No other version available

File Attachment
No Data

UMN Library
  • Information
  • Services
  • Librarian
  • Member Area

About Us

SLIMS UMN helps you explore UMN Library collections while handling core services such as cataloging, loans, and member management.

Links

  • Knowledge Center
  • Online Library
  • E-journals
  • MyUMN
  • E-learning
Select the topic you are interested in
  • Computer Science, Information & General Works
  • Philosophy & Psychology
  • Religion
  • Social Sciences
  • Language
  • Pure Science
  • Applied Sciences
  • Art & Recreation
  • Literature
  • History & Geography
Icons made by Freepik from www.flaticon.com
Advanced Search
Where do you want to share?