Build a career in data science / (Record no. 21791)

MARC details
000 -LEADER
fixed length control field 02020nam a2200229Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field NULRC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250520103029.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250520s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781617296246
040 ## - CATALOGING SOURCE
Transcribing agency NULRC
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA 76.9.B45 .R63 2020
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Robinson, Emily
Relator term author
245 #0 - TITLE STATEMENT
Title Build a career in data science /
Statement of responsibility, etc. Emily Robinson and Jacqueline Nolis
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Shelter Island, NY :
Name of publisher, distributor, etc. Manning Publications,
Date of publication, distribution, etc. c2020
300 ## - PHYSICAL DESCRIPTION
Extent xxvii, 322 pages :
Other physical details illustrations ;
Dimensions 24 cm.
365 ## - TRADE PRICE
Price amount USD40
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Part 1. Getting started with data science -- 1 What is data science? free audio -- 2 Data science companies -- 3 Getting the skills -- 4 Building a portfolio -- Part 2. Finding your data science job. -- 5 The search: Identifying the right job for you -- 6 The application: Résumés and cover letters -- 7 The interview: What to expect and how to handle it -- 8 The offer: Knowing what to accept -- Part 3. Settling into data science. -- 9 The first months on the job -- 10 Making an effective analysis -- 11 Deploying a model into production -- Part 4. Growing in your data science role. -- 12 Working with stakeholders -- 13 When your data science project fails -- 14. Joining the data science community -- 15 Leaving your job gracefully -- 16 Moving up the ladder - Appendix: Interview questions.
520 ## - SUMMARY, ETC.
Summary, etc. Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you'll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You'll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element BIG DATA
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Machine Learning LRC - Main National University - Manila General Circulation 05/07/2024 Purchased - Amazon 40.00   GC QA 76.9.B45 .R63 2020 NULIB000019550 05/20/2025 c.1 05/20/2025 Books