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SQL for Data Analytics
SQL for Data Analytics

SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL

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Profile Icon Upom Malik Profile Icon Matt Goldwasser Profile Icon Benjamin Johnston
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€45.89 €50.99
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.5 (35 Ratings)
eBook Aug 2019 386 pages 1st Edition
eBook
€45.89 €50.99
Paperback
€62.99
Subscription
Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Upom Malik Profile Icon Matt Goldwasser Profile Icon Benjamin Johnston
Arrow right icon
€45.89 €50.99
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.5 (35 Ratings)
eBook Aug 2019 386 pages 1st Edition
eBook
€45.89 €50.99
Paperback
€62.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€45.89 €50.99
Paperback
€62.99
Subscription
Free Trial
Renews at €18.99p/m

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Table of content icon View table of contents Preview book icon Preview Book

SQL for Data Analytics

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Key benefits

  • Explore a variety of statistical techniques to analyze your data
  • Integrate your SQL pipelines with other analytics technologies
  • Perform advanced analytics such as geospatial and text analysis

Description

Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don't know how to use it to gain the most effective business insights from data, this book is for you. SQL for Data Analytics helps you build the skills to move beyond basic SQL and instead learn to spot patterns and explain the logic hidden in data. You'll discover how to explore and understand data by identifying trends and unlocking deeper insights. You'll also gain experience working with different types of data in SQL, including time-series, geospatial, and text data. Finally, you'll learn how to increase your productivity with the help of profiling and automation. By the end of this book, you'll be able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of an analytics professional. Please note: if you are having difficulty loading the sample datasets, there are new instructions uploaded to the GitHub repository. The link to the GitHub repository can be found in the book's preface.

Who is this book for?

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, 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. Knowledge of basic SQL and database concepts will aid in understanding the concepts covered in this book.

What you will learn

  • Perform advanced statistical calculations using the WINDOW function
  • Use SQL queries and subqueries to prepare data for analysis
  • Import and export data using a text file and psql
  • Apply special SQL clauses and functions to generate descriptive statistics
  • Analyze special data types in SQL, including geospatial data and time data
  • Optimize queries to improve their performance for faster results
  • Debug queries that won't run
  • Use SQL to summarize and identify patterns in data

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 23, 2019
Length: 386 pages
Edition : 1st
Language : English
ISBN-13 : 9781789803846
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Product Details

Publication date : Aug 23, 2019
Length: 386 pages
Edition : 1st
Language : English
ISBN-13 : 9781789803846
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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Total 131.97
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Total 131.97 Stars icon

Table of Contents

9 Chapters
1. Understanding and Describing Data Chevron down icon Chevron up icon
2. The Basics of SQL for Analytics Chevron down icon Chevron up icon
3. SQL for Data Preparation Chevron down icon Chevron up icon
4. Aggregate Functions for Data Analysis Chevron down icon Chevron up icon
5. Window Functions for Data Analysis Chevron down icon Chevron up icon
6. Importing and Exporting Data Chevron down icon Chevron up icon
7. Analytics Using Complex Data Types Chevron down icon Chevron up icon
8. Performant SQL Chevron down icon Chevron up icon
9. Using SQL to Uncover the Truth – a Case Study Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.5
(35 Ratings)
5 star 45.7%
4 star 2.9%
3 star 20%
2 star 14.3%
1 star 17.1%
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Top Reviews

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L. Langseth Oct 26, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
If you are looking for a book that will help you get up and running with the basics of SQL, or a seasoned professional who wants to gain a deeper understanding of how SQL can be harnessed to extract in-depth insights from large sets of data, I highly recommend this book. As a Data Scientist, I often do a lot of processing of data extraction from a SQL database. This book has helped me to streamline my workflow through allowing my to shift a bulk of the processing upstream with the aid of the concepts I learned in this engaging read on one of the most ubiquitous frameworks in the industry.
Amazon Verified review Amazon
Jared Wiener Nov 22, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
As a beginner to SQL, this book was surprisingly easy to comprehend. The author’s tone was almost jovial, which you don’t find very often from data nerds. Can’t wait for the SeQueL!
Amazon Verified review Amazon
Emily Apr 18, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Very happy about this purchase, I purchased another SQL book and that one was super confusing. This one is incredibly great & easy to understand. The installation is even pretty easy too compared to other installations I’ve tried. Definitely recommend if you’re trying to learn SQL.
Amazon Verified review Amazon
RB Sep 24, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Easily one of the best SQL books out there for helping you slice and dice your data into exactly the way you want it. Perfect for learning or simply as a convenient reference.
Amazon Verified review Amazon
Marc Leek Jul 25, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book supported my SQL learning initiative very well. Periodic activities reinforce each topic.
Amazon Verified review Amazon
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