A beginner's guide to simplifying Extract, Transform, Load (ETL)
processes with the help of hands-on tips, tricks, and best practices, in
a fun and interactive way
Key Features
- 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
Book 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.
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
Who this book is 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.
