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Data Wrangling with SQL
Data Wrangling with SQL

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

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Profile Icon Raghav Kandarpa Profile Icon Shivangi Saxena
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Can$49.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (25 Ratings)
Paperback Jul 2023 350 pages 1st Edition
eBook
Can$13.99 Can$39.99
Paperback
Can$49.99
Arrow left icon
Profile Icon Raghav Kandarpa Profile Icon Shivangi Saxena
Arrow right icon
Can$49.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (25 Ratings)
Paperback Jul 2023 350 pages 1st Edition
eBook
Can$13.99 Can$39.99
Paperback
Can$49.99
eBook
Can$13.99 Can$39.99
Paperback
Can$49.99

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Data Wrangling with SQL

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Key benefits

  • Implement query optimization during data wrangling using the SQL language with practical use cases
  • Master data cleaning, handle the date function and null value, and write subqueries and window functions
  • Practice self-assessment questions for SQL-based interviews and real-world case study rounds

Description

The amount of data generated continues to grow rapidly, making it increasingly important for businesses to be able to wrangle this data and understand it quickly and efficiently. Although data wrangling can be challenging, with the right tools and techniques you can efficiently handle enormous amounts of unstructured data. The book starts by introducing you to the basics of SQL, focusing on the core principles and techniques of data wrangling. You’ll then explore advanced SQL concepts like aggregate functions, window functions, CTEs, and subqueries that are very popular in the business world. The next set of chapters will walk you through different functions within SQL query that cause delays in data transformation and help you figure out the difference between a good query and bad one. You’ll also learn how data wrangling and data science go hand in hand. The book is filled with datasets and practical examples to help you understand the concepts thoroughly, along with best practices to guide you at every stage of data wrangling. By the end of this book, you’ll be equipped with essential techniques and best practices for data wrangling, and will predominantly learn how to use clean and standardized data models to make informed decisions, helping businesses avoid costly mistakes.

Who is this book for?

This book is for data analysts looking for effective hands-on methods to manage and analyze large volumes of data using SQL. The book will also benefit data scientists, product managers, and basically any role wherein you are expected to gather data insights and develop business strategies using SQL as a language. If you are new to or have basic knowledge of SQL and databases and an understanding of data cleaning practices, this book will give you further insights into how you can apply SQL concepts to build clean, standardized data models for accurate analysis.

What you will learn

  • Build time series models using data wrangling
  • Discover data wrangling best practices as well as tips and tricks
  • Find out how to use subqueries, window functions, CTEs, and aggregate functions
  • Handle missing data, data types, date formats, and redundant data
  • Build clean and efficient data models using data wrangling techniques
  • Remove outliers and calculate standard deviation to gauge the skewness of data
Estimated delivery fee Deliver to Canada

Economy delivery 10 - 13 business days

Can$24.95

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 31, 2023
Length: 350 pages
Edition : 1st
Language : English
ISBN-13 : 9781837630028
Category :
Languages :

What do you get with Print?

Product feature icon Instant access to your digital copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Redeem a companion digital copy on all Print orders
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
Modal Close icon
Payment Processing...
tick Completed

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Estimated delivery fee Deliver to Canada

Economy delivery 10 - 13 business days

Can$24.95

Product Details

Publication date : Jul 31, 2023
Length: 350 pages
Edition : 1st
Language : English
ISBN-13 : 9781837630028
Category :
Languages :

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Frequently bought together


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Total Can$ 162.97
Exploratory Data Analysis with Python Cookbook
Can$65.99
SQL Query Design Patterns and Best Practices
Can$46.99
Data Wrangling with SQL
Can$49.99
Total Can$ 162.97 Stars icon

Table of Contents

20 Chapters
Part 1:Data Wrangling Introduction Chevron down icon Chevron up icon
Chapter 1: Database Introduction Chevron down icon Chevron up icon
Chapter 2: Data Profiling and Preparation before Data Wrangling Chevron down icon Chevron up icon
Part 2:Data Wrangling Techniques Using SQL Chevron down icon Chevron up icon
Chapter 3: Data Wrangling on String Data Types Chevron down icon Chevron up icon
Chapter 4: Data Wrangling on the DATE Data Type Chevron down icon Chevron up icon
Chapter 5: Handling NULL Values Chevron down icon Chevron up icon
Chapter 6: Pivoting Data Using SQL Chevron down icon Chevron up icon
Part 3:SQL Subqueries, Aggregate And Window Functions Chevron down icon Chevron up icon
Chapter 7: Subqueries and CTEs Chevron down icon Chevron up icon
Chapter 8: Aggregate Functions Chevron down icon Chevron up icon
Chapter 9: SQL Window Functions Chevron down icon Chevron up icon
Part 4:Optimizing Query Performance Chevron down icon Chevron up icon
Chapter 10: Optimizing Query Performance Chevron down icon Chevron up icon
Part 5:Data Science And Wrangling Chevron down icon Chevron up icon
Chapter 11: Descriptive Statistics with SQL Chevron down icon Chevron up icon
Chapter 12: Time Series with SQL Chevron down icon Chevron up icon
Chapter 13: Outlier Detection Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6
(25 Ratings)
5 star 84%
4 star 4%
3 star 4%
2 star 0%
1 star 8%
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Paras Madan Oct 26, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is a must buy for everyone who is in tech, whether you are starting up or already in the field, this book is an essential. The author starts from basic and takes it to a level which is the standard across all top Tech Companies. You should buy this book before having a second thought 💯
Amazon Verified review Amazon
robnmel Dec 24, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is a great book for everyone getting started or wanted to up-skill in SQL. These real world examples can help you learn SQL in practical ways. Raghav & Shivangi share the best tips and tricks from their great personal studies & work experience. Get your data journey going with this book. 🙌☕️
Amazon Verified review Amazon
Anirudh R Aug 06, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Data Wrangling with SQL: A Hands-On Guide to Manipulating, Wrangling, and Engineering Data Using SQL" is an invaluable resource for both budding and seasoned data professionals. The book excels in its clarity and practical approach, making complex SQL techniques accessible to readers at various skill levels.The hands-on exercises are well-designed, allowing readers to apply concepts in real-world scenarios, which reinforces learning and builds confidence. The book covers a comprehensive range of topics, from fundamental data manipulation to advanced data engineering, all while maintaining a clear and structured narrative.What sets this guide apart is its balance between theory and practice. It not only explains the 'how' but also delves into the 'why,' providing readers with a deeper understanding of SQL's capabilities. The examples are relevant and diverse, reflecting actual industry challenges and use cases.Overall, "Data Wrangling with SQL" is a practical and engaging guide that equips readers with essential skills for effective data management and manipulation. It’s a must-have for anyone looking to enhance their SQL proficiency and tackle data-driven problems with confidence.
Amazon Verified review Amazon
Om S Aug 11, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
"Data Wrangling with SQL" is a practical guide that equips data analysts and professionals with essential tools for navigating the complexities of data wrangling. The book strikes a balance between theory and real-world application, making it a valuable resource for both beginners and experienced users of SQL.The book starts with a solid introduction to SQL fundamentals, laying a strong foundation for data wrangling techniques. Advanced topics like aggregate functions, window functions, CTEs, and subqueries are explored in depth, providing readers with the expertise to manipulate data effectively.One standout feature is the emphasis on query optimization, often overlooked in data transformation. Through practical examples, readers learn to streamline queries, enhancing the efficiency of the data transformation process. The inclusion of self-assessment questions adds a practical dimension, aiding readers in preparing for SQL-based interviews.Real-world datasets and examples enrich the learning experience, bridging the gap between theory and practice. The book covers a range of aspects, from data profiling and null value handling to outlier detection and time series modeling, ensuring a well-rounded skill set."Data Wrangling with SQL" caters to a diverse audience, including data analysts, scientists, and professionals involved in data-driven decision-making. It provides actionable insights, enabling efficient data handling and informed strategic choices.
Amazon Verified review Amazon
Abhishek Bhalerao Oct 11, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I recently had the opportunity to read this book and I must say, it truly lives up to its title. This book is an absolute gem for anyone looking to dive into the world of SQL.From the very first chapter, the author does an excellent job of explaining SQL concepts in a clear and concise manner, making it easy for beginners to grasp the fundamentals. The book is well-structured, with each chapter building upon the previous one, ensuring a smooth learning curve throughout.One thing I particularly appreciated about this book is the practical approach it takes. This hands-on approach really helped solidify my knowledge and gave me the confidence to tackle SQL projects on my own.Another highlight of this book is its comprehensive coverage of SQL topics. It covers everything from basic querying to more advanced topics like joins, subqueries, and database management. Whether you're a complete beginner or already have some SQL knowledge, this book has something to offer for everyone.Overall, I highly recommend to anyone who wants to learn SQL or strengthen their existing knowledge. It's an invaluable resource that will equip you with the skills needed to effectively work with databases.
Amazon Verified review Amazon
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Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
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Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
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  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela
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