MARC details
000 -LEADER |
fixed length control field |
03782dam a2200325Ii 4500 |
001 - CONTROL NUMBER |
control field |
0000372243 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
0001 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
221213s2020 sz# ob 001 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783030575915 (paperback) |
Qualifying information |
(electronic bk.) |
|
International Standard Book Number |
3030575926 |
Qualifying information |
(electronic bk.) |
|
Canceled/invalid ISBN |
3030575918 |
|
Canceled/invalid ISBN |
9783030575915 |
035 ## - SYSTEM CONTROL NUMBER |
System control number |
(OCoLC)1205607630 |
Canceled/invalid control number |
(OCoLC)1225563876 |
-- |
(OCoLC)1227334462 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
YDX |
Language of cataloging |
eng |
Description conventions |
rda |
Transcribing agency |
YDX |
Modifying agency |
SFB |
-- |
UAB |
-- |
OCLCF |
-- |
EBLCP |
-- |
GW5XE |
-- |
OCLCO |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
005.74 |
Edition number |
23 |
084 ## - OTHER CLASSIFICATION NUMBER |
Classification number |
005.74 |
Item number |
BAD-S |
Number source |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Badia, Antonio, |
Authority record control number or standard number |
http://id.loc.gov/authorities/names/nb2009013244 |
Relator term |
author |
245 10 - TITLE STATEMENT |
Title |
SQL for data science |
Medium |
Book : |
Remainder of title |
data cleaning, wrangling and analytics with relational databases / |
Statement of responsibility, etc. |
Antonio Badia. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xi, 285 pages : |
Dimensions |
23 cm. |
365 ## - TRADE PRICE |
Price type code |
01 |
Price amount |
11,347.18 |
440 #0 - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
Data-centric systems and applications. |
Authority record control number |
http://id.loc.gov/authorities/names/no2003128521 |
International Standard Serial Number |
2197-9723 |
490 1# - SERIES STATEMENT |
Series statement |
Data-centric systems and applications, |
International Standard Serial Number |
2197-9723 |
500 ## - GENERAL NOTE |
General note |
Includes references and index |
520 ## - SUMMARY, ETC. |
Summary, etc. |
This textbook explains SQL within the context of data science and introduces the different parts of SQL as they are needed for the tasks usually carried out during data analysis. Using the framework of the data life cycle, it focuses on the steps that are very often given the short shift in traditional textbooks, like data loading, cleaning and pre-processing. The book is organized as follows. Chapter 1 describes the data life cycle, i.e. the sequence of stages from data acquisition to archiving, that data goes through as it is prepared and then actually analyzed, together with the different activities that take place at each stage. Chapter 2 gets into databases proper, explaining how relational databases organize data. Non-traditional data, like XML and text, are also covered. Chapter 3 introduces SQL queries, but unlike traditional textbooks, queries and their parts are described around typical data analysis tasks like data exploration, cleaning and transformation. Chapter 4 introduces some basic techniques for data analysis and shows how SQL can be used for some simple analyses without too much complication. Chapter 5 introduces additional SQL constructs that are important in a variety of situations and thus completes the coverage of SQL queries. Lastly, chapter 6 briefly explains how to use SQL from within R and from within Python programs. It focuses on how these languages can interact with a database, and how what has been learned about SQL can be leveraged to make life easier when using R or Python. All chapters contain a lot of examples and exercises on the way, and readers are encouraged to install the two open-source database systems (MySQL and Postgres) that are used throughout the book in order to practice and work on the exercises, because simply reading the book is much less useful than actually using it. This book is for anyone interested in data science and/or databases. It just demands a bit of computer fluency, but no specific background on databases or data analysis. All concepts are introduced intuitively and with a minimum of specialized jargon. After going through this book, readers should be able to profitably learn more about data mining, machine learning, and database management from more advanced textbooks and courses |
521 ## - TARGET AUDIENCE NOTE |
Target audience note |
All. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Database management. |
Authority record control number or standard number |
http://id.loc.gov/authorities/subjects/sh85035848 |
|
Topical term or geographic name entry element |
Big data. |
Authority record control number or standard number |
http://id.loc.gov/authorities/subjects/sh2012003227 |
|
Topical term or geographic name entry element |
SQL (Computer program language) |
Authority record control number or standard number |
http://id.loc.gov/authorities/subjects/sh86006628 |
852 ## - LOCATION |
Accession No. |
10001000062606 |
-- |
11347.18 |
-- |
Allied Book Company |
Former shelving location |
Books |