Badia, Antonio <br/><br/>
SQL for data science   : data cleaning, wrangling and analytics with relational databases 

 - Switzerland:  Springer Nature,  2020. 
 - xi, 285 p. 
 - Data-Centric Systems and Applications  .
<br/><br/> Includes bibliographical references and index. 
<br/><br/> This textbook explains SQL within the contextof 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. 
<br/><br/><label>ISBN: </label>9783030575915 
<br/><br/><label>Subjects--Topical Terms: </label><br/>SQL (Computer program language)<br/>Database design-SQL<br/>Data cleaning<br/> Big Data Analytics
<br/><br/><label>Dewey Class. No.: </label>005.74 BAD  / BAD