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SQL for Data Analytics
SQL for Data Analytics

SQL for Data Analytics: Harness the power of SQL to extract insights from data , Third Edition

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Profile Icon Jun Shan Profile Icon Matt Goldwasser Profile Icon Upom Malik Profile Icon Benjamin Johnston
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$39.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (53 Ratings)
eBook Aug 2022 540 pages 3rd Edition
eBook
$39.99
Paperback
$49.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Jun Shan Profile Icon Matt Goldwasser Profile Icon Upom Malik Profile Icon Benjamin Johnston
Arrow right icon
$39.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (53 Ratings)
eBook Aug 2022 540 pages 3rd Edition
eBook
$39.99
Paperback
$49.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$39.99
Paperback
$49.99
Subscription
Free Trial
Renews at $12.99p/m

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Key benefits

  • Master each concept through practical exercises and activities
  • Discover various statistical techniques to analyze your data
  • Implement everything you’ve learned on a real-world case study to uncover valuable insights

Description

Every day, businesses operate around the clock, and a huge amount of data is generated at a rapid pace. This book helps you analyze this data and identify key patterns and behaviors that can help you and your business understand your customers at a deep, fundamental level. SQL for Data Analytics, Third Edition is a great way to get started with data analysis, showing how to effectively sort and process information from raw data, even without any prior experience. You will begin by learning how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data. As you progress, you will learn how to write SQL queries to aggregate, calculate, and combine SQL data from sources outside of your current dataset. You will also discover how to work with advanced data types, like JSON. By exploring advanced techniques, such as geospatial analysis and text analysis, you will be able to understand your business at a deeper level. Finally, the book lets you in on the secret to getting information faster and more effectively by using advanced techniques like profiling and automation. By the end of this book, you will be proficient in the efficient application of SQL techniques in everyday business scenarios and looking at data with the critical eye of analytics professional.

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 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.

What you will learn

  • Use SQL to clean, prepare, and combine different datasets
  • Aggregate basic statistics using GROUP BY clauses
  • Perform advanced statistical calculations using a WINDOW function
  • Import data into a database to combine with other tables
  • Export SQL query results into various sources
  • Analyze special data types in SQL, including geospatial, date/time, and JSON data
  • Optimize queries and automate tasks
  • Think about data problems and find answers using SQL

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 29, 2022
Length: 540 pages
Edition : 3rd
Language : English
ISBN-13 : 9781801817806
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What do you get with eBook?

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Product Details

Publication date : Aug 29, 2022
Length: 540 pages
Edition : 3rd
Language : English
ISBN-13 : 9781801817806
Category :
Concepts :

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Full star icon Full star icon Full star icon Full star icon Half star icon 4.8
(53 Ratings)
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Adam K. Sep 27, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I have fairly recently completed a couple online SQL Certifications and wanted to expand my learning so I picked up this book. The writing is very simple to understand while staying complex within the SQL environment. I haven't fully made it through the book but have been flipping to certain areas when I get stuck in a problem and it has instantly provided insight and knowledge to help me figure out a problem. I can't to finish it and keep it on my bedside for future use.
Amazon Verified review Amazon
Thuy Vo Oct 21, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I work in the data analytics field and thought it would be a good idea to brush up on my foundational understanding of SQL. This book provided that and much more. The language used was easy to understand and examples were explained thoroughly. The information this book provides helps you understand the what, how, and why of a SQL statement. This is a fantastic tool to bolster your understanding of SQL, especially in the data analytics world. I learned from my peers and I would highly recommend adding this to your library if you were in the same shoes. This helps bolster my SQL foundation in the Data Analytics space.
Amazon Verified review Amazon
Levi Jul 02, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book honestly saved me from looking through hundreds of resources in search of data science insights. Very intuitive and written to help the fledgling beginner.
Amazon Verified review Amazon
Mel T. Sep 16, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Although SQL isn’t my strongest skill, reading this book allowed many things to come full circle for me. I was able to refresh my memory and learn a few things along the way. I highly recommend this read for anyone who needs a deep refresh in SQL or is just getting started!
Amazon Verified review Amazon
Rajavel S Sep 11, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Clearly laid out step by step with chapters for beginners to utilize SQL using Postgres database.Step by Step instruction to download and install Postgres - helps for beginners to learn with sample datasets provided.It talks about various concepts (Types of Data - [structured, semi-structured, unstructured], Types of joins, Cleaning & transforming data via SQL, Aggregation for data analysis use cases, Import/export data into database for data analysis, Complex scenarios to work with, Performance tuning if you see any issues scenarios)Bonus : you get various case study to uncover the truth with data analysis process.
Amazon Verified review Amazon
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