FAQs

How do I buy and download an eBook?

Where there is an eBook version of a title available, you can buy it from the book details for that title. Add either the standalone eBook or the eBook and print book bundle to your shopping cart. Your eBook will show in your cart as a product on its own. After completing checkout and payment in the normal way, you will receive your receipt on the screen containing a link to a personalised PDF download file. This link will remain active for 30 days. You can download backup copies of the file by logging in to your account at any time.

If you already have Adobe reader installed, then clicking on the link will download and open the PDF file directly. If you don't, then save the PDF file on your machine and download the Reader to view it.

Please Note: Packt eBooks are non-returnable and non-refundable.

Packt eBook and Licensing When you buy an eBook from Packt Publishing, completing your purchase means you accept the terms of our licence agreement. Please read the full text of the agreement. In it we have tried to balance the need for the ebook to be usable for you the reader with our needs to protect the rights of us as Publishers and of our authors. In summary, the agreement says:

You may make copies of your eBook for your own use onto any machine
You may not pass copies of the eBook on to anyone else

How can I make a purchase on your website?

If you want to purchase a video course, eBook or Bundle (Print+eBook) please follow below steps:

Register on our website using your email address and the password.
Search for the title by name or ISBN using the search option.
Select the title you want to purchase.
Choose the format you wish to purchase the title in; if you order the Print Book, you get a free eBook copy of the same title.
Proceed with the checkout process (payment to be made using Credit Card, Debit Cart, or PayPal)

Where can I access support around an eBook?

If you experience a problem with using or installing Adobe Reader, the contact Adobe directly.
To view the errata for the book, see www.packtpub.com/support and view the pages for the title you have.
To view your account details or to download a new copy of the book go to www.packtpub.com/account
To contact us directly if a problem is not resolved, use www.packtpub.com/contact-us

What eBook formats do Packt support?

Our eBooks are currently available in a variety of formats such as PDF and ePubs. In the future, this may well change with trends and development in technology, but please note that our PDFs are not Adobe eBook Reader format, which has greater restrictions on security.

You will need to use Adobe Reader v9 or later in order to read Packt's PDF eBooks.

What are the benefits of eBooks?

You can get the information you need immediately
You can easily take them with you on a laptop
You can download them an unlimited number of times
You can print them out
They are copy-paste enabled
They are searchable
There is no password protection
They are lower price than print
They save resources and space

What is an eBook?

Packt eBooks are a complete electronic version of the print edition, available in PDF and ePub formats. Every piece of content down to the page numbering is the same. Because we save the costs of printing and shipping the book to you, we are able to offer eBooks at a lower cost than print editions.

When you have purchased an eBook, simply login to your account and click on the link in Your Download Area. We recommend you saving the file to your hard drive before opening it.

For optimal viewing of our eBooks, we recommend you download and install the free Adobe Reader version 9.

Filter reviews by

All

Amazon verified reviews

Nithin Feb 15, 2021

I found the book "The Data Analysis Workshop" really helpful. I like the approach author has taken to go step by step on the process. Every problem solving follows the data exploration and preprocessing to data visualization in Python.The book uses real world and variety datasets with great well formatted colored visualizations. Code snippets are clear and explains the problem statement with clarity across the entire book.The book covers a lot of important concepts sklearn, classification, regression, hypothesis testing, clustering, time series, and many more. It also features "Activities" for every section which helps with better understanding of problem statement.I would highly recommend this book.

Amazon Verified review

Gennaro Maida, MS, BSBME -- CTO/Co-founder Vital Intelligence, Inc. Oct 05, 2020

This book does exactly what the author intends. There are many real world examples that are used to build knowledge and expertise in some of todays most powerful python tools. Jupyter notebooks, matplotlib, seaborn, scikit-learn, numpy, scipy, and pandas are employed diving into many of the most useful methods. The author takes the time to walk the reader through the steps of solving analytical problems from data exploration and preprocessing to data visualization. Additionally, the author lightly digs into the statistics and probability behind the analyses to build concepts rather then repetitive memorization. I would recommend this book, not only as a quick reference for intermediate to advanced data scientists, but as a book to introduce beginners (with python knowledge) to the world of data science. A definite thumbs up.

Richard Dec 28, 2020

Excellent book that clearly explains vital data analysis techniques using real-world examples. The author does a particularly great job highlighting the use of Python-based statistical analyses via Jupyter notebooks by importing pandas, matplotlib, seaborn, scikit-learn, numpy, and scipy.This book also covers some great data visualization techniques, which are must-haves for anyone who is interested in crafting meaningful data storytelling.Overall, this is a great read for anyone who is interested in expanding their data analysis skill set. A highly recommended read!

Alan Dec 09, 2020

This book is a good learning tool for beginners as well as a great reference book for the more experienced. You do need to be versed in Python before reading, although being a programmer in VBA, I was able to get the gist of what the programs were doing (programming fundamentals). It covers many different and increasingly complex datasets and shows how to turn them into meaningful data insights. I would recommend it to anyone that wants to gain serious knowledge about data analysis.

Nhikki v May 04, 2021

Great data analysis with python book with 10 different scenarios. Datasets provided too so you can do your own analysis and the exercises. Perfect to practice and gain experience.

The Data Analysis Workshop: Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way

What do you get with eBook?