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
DescriptionWhile 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
forThe 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.
General
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