The Data Wrangling Workshop: Create your own actionable insights using data from multiple raw sources , Second Edition

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Key benefits

Explore data wrangling with the help of real-world examples and business use cases

Study various ways to extract the most value from your data in minimal time

Boost your knowledge with bonus topics, such as random data generation and data integrity checks

Description

While a huge amount of data is readily available to us, it is not useful in its raw form. For data to be meaningful, it must be curated and refined. If you’re a beginner, then The Data Wrangling Workshop will help to break down the process for you. You’ll start with the basics and build your knowledge, progressing from the core aspects behind data wrangling, to using the most popular tools and techniques. This book starts by showing you how to work with data structures using Python. Through examples and activities, you’ll understand why you should stay away from traditional methods of data cleaning used in other languages and take advantage of the specialized pre-built routines in Python. Later, you’ll learn how to use the same Python backend to extract and transform data from an array of sources, including the internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, the book teaches you how to handle missing or incorrect data, and reformat it based on the requirements from your downstream analytics tool. By the end of this book, you will have developed a solid understanding of how to perform data wrangling with Python, and learned several techniques and best practices to extract, clean, transform, and format your data efficiently, from a diverse array of sources.

Who is this book for?

The Data Wrangling Workshop is designed for developers, data analysts, and business analysts who are looking to pursue a career as a full-fledged data scientist or analytics expert. Although this book is for beginners who want to start data wrangling, prior working knowledge of the Python programming language is necessary to easily grasp the concepts covered here. It will also help to have a rudimentary knowledge of relational databases and SQL.

What you will learn

Get to grips with the fundamentals of data wrangling

Understand how to model data with random data generation and data integrity checks

Discover how to examine data with descriptive statistics and plotting techniques

Explore how to search and retrieve information with regular expressions

Delve into commonly-used Python data science libraries

Become well-versed with how to handle and compensate for missing data

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Amazon verified reviews

Prime Shopper Jan 10, 2021

This book has tons of information jam-packed in such a way that any level of expertise can understand the idea being conveyed. I would recommend you get this book if you are starting data science or you are looking to practice data cleaning. This book is great to learn from and refer to in case of a problem.

Amazon Verified review

sp May 29, 2021

Really good book to get you started with data wrangling. Covers a wide range of data structures and wrangling techniques. I also appreciated the last chapter with business use cases, as a means to consolidate the content of previous chapters in real world applications.

Oliver Dixon Jun 24, 2021

Unlike other books in this field, this book is very clear and gives you the skills to apply data wrangling immediately. Other books that I've read are so boring and bland that I have to reread the chapter multiple times just do try and understand what the author was trying to say but this book made it seem super easy and I walked away with the same skill in half the time! Highly recommend it!

Alexandre Henrique Dec 22, 2020

This book is amazing for beginners and data science practitioners. At this point in my career, I've read some books and chapters on data wrangling strategies, methods, and techniques. However, when it comes to learning how to handle data in python AND build a mindset on how to approach data, this title is a masterpiece.The section on built-in data structures exceeded my expectations because even though there is extensive documentation on this topic on the internet, the experiments are captivating and instructive. Particularly, I can tell the same about Chapter 7 (Advanced Web Scraping and Data Gathering) and Chapter 9 (Applications in Business Use Cases and Conclusion of the Course).Finally, as in other workshops, this book approaches many data science subjects from a very practical point of view. This means that it not only takes you into the theoretical aspects of data analysis but it also equips you with a broad overview of possible solutions to various problems that you may encounter during data analysis.

SUJOY DEB BARMA Jan 17, 2021

As a Data Engineer myself, it is my everyday job to wrangle data and this book has been compiled very efficiently to convey the contents. I have used this book to brush up my skills in the weekends and the experience and time put into this has been worth it. The best part of this book is after every step there is a snippet of image of what we should expect in our screens which turns out to be very helpful. For students starting to learn the way of having good practices of data wrangling, I highly recommend this book.

The Data Wrangling Workshop: Create your own actionable insights using data from multiple raw sources , Second Edition

What do you get with Print?