The Applied SQL Data Analytics Workshop: Develop your practical skills and prepare to become a professional data analyst , Second Edition

Matt Goldwasser

Upom Malik

Benjamin Johnston

$51.99

4 (5 Ratings)

Paperback Feb 2020 484 pages 2nd Edition

Matt Goldwasser

Upom Malik

Benjamin Johnston

$51.99

4 (5 Ratings)

Paperback Feb 2020 484 pages 2nd Edition

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Key benefits

Explore ways to use SQL for data analytics and gain key insights from your data
Study advanced analytics, such as geospatial and text analytics
Discover ways to integrate your SQL pipelines with other analytics technologies

Description

Every day, businesses operate around the clock and a huge amount of data is generated at a rapid pace. Hidden in this data are key patterns and behaviors that can help you and your business understand your customers at a deep, fundamental level. Are you ready to enter the exciting world of data analytics and unlock these useful insights? Written by a team of expert data scientists who have used their data analytics skills to transform businesses of all shapes and sizes, The Applied SQL Data Analytics Workshop is a great way to get started with data analysis, showing you how to effectively sieve and process information from raw data, even without any prior experience. The book begins by showing you how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data. As you progress, you'll learn how to write SQL queries to aggregate, calculate and combine SQL data from sources outside of your current dataset. You'll also discover how to work with different data types, like JSON. By exploring advanced techniques, such as geospatial analysis and text analysis, you'll finally 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 The Applied SQL Data Analytics Workshop, you'll have the skills you need to start identifying patterns and unlocking insights in your own data. You will be capable of looking and assessing data with the critical eye of a skilled data analyst.

Who is this book for?

If you are a database engineer who is looking to transition into analytics or someone who knows SQL basics but doesn't know how to use it to create business insights, then this book is for you.

What you will learn

Understand what data analytics is and why it is important
Experiment with data analytics using basic and advanced queries
Interpret data through descriptive statistics and aggregate functions
Export data from external sources using powerful SQL queries
Work with and manipulate data using SQL joins and constraints
Speed up your data analysis workflow by automating tasks and optimizing queries

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Dagart Allison Feb 27, 2021

I found this too be a very logical book. The explanations are great. The practice exercises are relevant and at a good challenge for the progression in the book.

Amazon Verified review

Matt May 22, 2020

While a lot of books on SQL tend to focus on the basics of writing a query, this book specifically addresses practical applications of SQL, and helps you integrate SQL into your daily work flow.Overall, it's pretty well written, and the concepts make sense. I do think that it's probably helpful to have some basic familiarity with SQL, because the book covers a lot of content.It's also worth mentioning that the book uses the Postgres variant of SQL, so that might not work for all users. Still, the most of the concepts are applicable to other variants of SQL as well.

Stephane TRAN Nov 06, 2023

C'est très très bien. RAS

Feefo Verified review

Serg Jan 07, 2024

There are errors. For example, in the section on creating tables, it is written that only one column of the table can be the primary key. There is no mention of the possibility of creating composite keys

Subscriber review

Dave Oatway Mar 19, 2020

I am very disappointed in this book. It wastes the first part on Excel - not SQL. Then it uses Postgres SQL instead of a significant database like MS SQL, Oracle, or Mysql. it does not address current techniques such as pivots.

The Applied SQL Data Analytics Workshop: Develop your practical skills and prepare to become a professional data analyst , Second Edition

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