From social science to data science / (Record no. 2224)

MARC details
000 -LEADER
fixed length control field 01865nam a22002177a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240529102119.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240529b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781529707496
040 ## - CATALOGING SOURCE
Transcribing agency Human Rights Violations Victims' Memorial Commission
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number HA 29
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Hogan, Bernie
Relator term author
245 ## - TITLE STATEMENT
Title From social science to data science /
Statement of responsibility, etc. Bernie Hogan.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Los Angeles :
Name of publisher, distributor, etc. Sage Publications Ltd.,
Date of publication, distribution, etc. 2023.
300 ## - PHYSICAL DESCRIPTION
Extent xxxiv, 361 pages :
Other physical details illustrations ;
Dimensions 24 cm.
500 ## - GENERAL NOTE
General note Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. "Built around the entire research process with a focus on ethics, this book equips you with the skills you need to successfully conduct a computational social science research project with Python. It shows you how to draw elements of social research, such as constructing a research question, together with coding and collecting data through wrangling and visualisation.<br/>Going beyond basic data science, it helps you take the next step into more advanced topics like time series analysis, natural language processing and social network analysis with confidence. Straightforward and practical, this book:<br/>• Provides a set of techniques for capturing, cleaning, merging and presenting online data to help you develop best practice in your own research.<br/>•Helps you access and extract APis while summarising important information.<br/>Showcases a diverse range of social data examples from across the web including<br/>Twitter, Wikipedia and Reddit. Accompanied by open access Jupyter notebooks and step-by-step coding instructions in Python, this book helps you scale up your existing skills to meet the demands of working with big data head on."
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Social sciences--Research--Data processing.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term Python (Computer program language).
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Foreign Books
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Date acquired Source of acquisition Inventory number Total Checkouts Full call number Date last seen Price effective from Koha item type
    Library of Congress Classification     Foreign Books HRVVMC Library HRVVMC Library 09/14/2023 MIBF 2023 - F and J de Jesus, Inc. FOR-0000062   HA 29 H64 2023 05/29/2024 05/29/2024 Foreign Books