Shan, Jun <br/><br/>
SQL for Data Analytics Harness the Power of SQL to Extract Insights from Data 

 - 3rd 
 - Birmingham, UK :  Packt Publishing,  c2022 
 - xxxi, 484 p.  : ill 
<br/><br/>Includes Bibliographical References and Index 
<br/><br/> SUMMARY<br/><br/>If you're a database engineer looking to transition into analytics or a backend engineer who wants to develop a deeper understanding of production data and gain practical SQL knowledge, you will find this book useful. This book is also ideal for data scientists or business analysts who want to improve their data analytics skills using SQL. Basic familiarity with SQL (such as basic SELECT, WHERE, and GROUP BY clauses) as well as a good understanding of linear algebra, statistics, and PostgreSQL 14 are necessary to make the most of this SQL data analytics book. 
<br/><br/><label>ISBN: </label>9781801812870 
<br/><br/><label>ISSN: </label>
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data Mining <br/>SQL Computer Program Language
<br/><br/><label>Dewey Class. No.: </label>005.133  / SHA