Data Wrangling with SQL: A hands-on guide to manipulating, wrangling, and engineering data using SQL

Author:   Raghav Kandarpa ,  Shivangi Saxena
Publisher:   Packt Publishing Limited
ISBN:  

9781837630028


Pages:   350
Publication Date:   31 July 2023
Format:   Paperback
Availability:   In stock   Availability explained
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Data Wrangling with SQL: A hands-on guide to manipulating, wrangling, and engineering data using SQL


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Author:   Raghav Kandarpa ,  Shivangi Saxena
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781837630028


ISBN 10:   183763002
Pages:   350
Publication Date:   31 July 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Database Introduction Data Profiling and Preparation before Data Wrangling Data Wrangling on String Data Types Data Wrangling on the DATE Data Type Handling NULL values Pivoting Data Using SQL Subqueries and CTEs Aggregate Functions SQL Window Functions Optimizing Query Performance Descriptive Statistics with SQL Time Series with SQL Outlier Detection

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Author Information

Raghav Kandarpa is an experienced Data Scientist in Finance and logistics industry with expertise in SQL, Python, Building Machine Learning Models, Financial Data Modelling, and Statistical Analysis. He holds a Masters’ degree in Business Analytics specializing in Data Science from the University of Texas at Dallas. Shivangi Saxena is an experienced BI Engineer with proficiency in SQL, Data Visualization, and Statistical Analysis. She holds a master’s degree in Information Technology and Management from the University of Texas at Dallas. She has several years of experience building several BI tools and products using SQL and BI reporting tools which has helped stakeholders to get visibility to the right data points

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