TY  - BOOK
AU  - Shan, Jun
AU  - Goldwasser, Matt
AU  - Malik, Upom
AU  - Johnston, Benjamin
TI  - SQL for Data Analytics Harness the Power of SQL to Extract Insights from Data
SN  - 9781801812870
U1  - 005.133 
PY  - 2022///
CY  - Birmingham, UK
PB  - Packt Publishing
KW  - Data Mining
KW  - SQL Computer Program Language
N1  - YY
N2  - SUMMARY

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
UR  - https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781801812870.pdf
UR  - https://www.oreilly.com/library/view/sql-for-data/9781801812870/
ER  -