Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Hands-On Data Preprocessing in Python
Hands-On Data Preprocessing in Python

Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics

Arrow left icon
Profile Icon Jafari
Arrow right icon
$12.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (19 Ratings)
Paperback Jan 2022 602 pages 1st Edition
eBook
$43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Jafari
Arrow right icon
$12.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (19 Ratings)
Paperback Jan 2022 602 pages 1st Edition
eBook
$43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$43.99
Paperback
$54.99
Subscription
Free Trial
Renews at $12.99p/m

What do you get with a Packt Subscription?

Free for first 7 days. $15.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Key benefits

  • Develop the skills to perform data cleaning, data integration, data reduction, and data transformation
  • Make the most of your raw data with powerful data transformation and massaging techniques
  • Perform thorough data cleaning, including dealing with missing values and outliers

Description

Hands-On Data Preprocessing is a primer on the best data cleaning and preprocessing techniques, written by an expert who’s developed college-level courses on data preprocessing and related subjects. With this book, you’ll be equipped with the optimum data preprocessing techniques from multiple perspectives, ensuring that you get the best possible insights from your data. You'll learn about different technical and analytical aspects of data preprocessing – data collection, data cleaning, data integration, data reduction, and data transformation – and get to grips with implementing them using the open source Python programming environment. The hands-on examples and easy-to-follow chapters will help you gain a comprehensive articulation of data preprocessing, its whys and hows, and identify opportunities where data analytics could lead to more effective decision making. As you progress through the chapters, you’ll also understand the role of data management systems and technologies for effective analytics and how to use APIs to pull data. By the end of this Python data preprocessing book, you'll be able to use Python to read, manipulate, and analyze data; perform data cleaning, integration, reduction, and transformation techniques, and handle outliers or missing values to effectively prepare data for analytic tools.

Who is this book for?

This book is for junior and senior data analysts, business intelligence professionals, engineering undergraduates, and data enthusiasts looking to perform preprocessing and data cleaning on large amounts of data. You don’t need any prior experience with data preprocessing to get started with this book. However, basic programming skills, such as working with variables, conditionals, and loops, along with beginner-level knowledge of Python and simple analytics experience, are a prerequisite.

What you will learn

  • Use Python to perform analytics functions on your data
  • Understand the role of databases and how to effectively pull data from databases
  • Perform data preprocessing steps defined by your analytics goals
  • Recognize and resolve data integration challenges
  • Identify the need for data reduction and execute it
  • Detect opportunities to improve analytics with data transformation

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jan 21, 2022
Length: 602 pages
Edition : 1st
Language : English
ISBN-13 : 9781801072137
Vendor :
Apache
Category :
Languages :
Concepts :

What do you get with a Packt Subscription?

Free for first 7 days. $15.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Jan 21, 2022
Length: 602 pages
Edition : 1st
Language : English
ISBN-13 : 9781801072137
Vendor :
Apache
Category :
Languages :
Concepts :

Packt Subscriptions

See our plans and pricing
Modal Close icon
$12.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
$129.99 billed annually
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts
$179.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 6,500+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total $ 166.97
Hands-On Data Preprocessing in Python
$54.99
Hands-On Financial Trading with Python
$46.99
Hands-On Data Analysis with Pandas
$64.99
Total $ 166.97 Stars icon
Visually different images

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(19 Ratings)
5 star 100%
4 star 0%
3 star 0%
2 star 0%
1 star 0%
Filter icon Filter
Top Reviews

Filter reviews by




Machiel Kruger Feb 22, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Feefo Verified review Feefo
Heather Feb 12, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I found this book to be an all encompassing guide on how to properly sort, preprocess, prepare, and use your datasets. Whether you are new to python and data analytics or a seasoned professional, I believe this book has value for any skillset. The level of detail in each chapter really aides in a wholistic understanding of each topic that takes the reader's learning further than just memorization, allowing the reader to have a complete understanding of the "why" behind each concept in the book. In particular, I found it extremely helpful that nearly half the book focused on data preprocessing methods when other textbooks would have covered this in too few of pages. Data preprocessing is truly the most important step in any analysis and this book definitely highlights the importance of the strong foundation.My favorite part of the book were the hands on exercises at the end of each chapter and case studies at the end of the book. I am a hands on learner, and these really helped me test each concept and fully grow as a data enthusiast. I highly recommend this book as an addition to anyone's library!
Amazon Verified review Amazon
Owen Apr 19, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book was very helpful as a beginner learning data science! I felt it had the right combination of technical and conceptual materials for beginners like me to learn fundamental concepts when working in Python. Every chapter is very detailed and even has practice problems to test out your knowledge. I highly recommended this book if you are new to Python or even if you have a good grasp of Python. It is always good to start learning the conceptual material first before learning anything technical and this book does a great job explaining concepts that I had difficulty understanding in my professional journey with data science.
Amazon Verified review Amazon
hkoos Jan 22, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Whether you are student, new to Python and data analytics, or a seasoned analyst looking to sharpen your craft, this book will serve as an invaluable resource. The chapters thoroughly cover all of the actions one may need to take to prepare their data for analysis. The author’s is tone is very encouraging and conversational, which makes it feel like you have a personal tutor for your learning process. Unlike some textbooks which require significant effort to process the dense language and blocks of code, this book breaks things down into digestible bits so you’re never stuck on one page.Beyond covering the the technical details of preparing data, the author discusses the more philosophical aspects of data analysis in chapters like “Data - What Is It Really?” which leave you feeling wiser. A good analyst should know not just how to analyze data, but why, and what they are really trying to accomplish. The case studies in this book provide hands-on practice with data analytics projects, which will give you the confidence to tackle your own projects. Throughout the book and exercises, the author shares his personal hints and tips based on his experience, imparting useful analytical intuitions.The author is correct is stating that data preprocessing is the most time consuming and perhaps most important stage in an analytics project. As a graduate student researcher at Stanford University, I can attest that most of my time is spent cleaning my data, while the modeling often requires just a few lines of code. When you work with larger datasets, preparing your data in Excel becomes less feasible, and eventually you will need to use tools like Python to do the work efficiently. Among today’s businesses, where “data is the new oil,” having a mastery of this specific material is certain to land you lucrative and rewarding job. Assuming you have learned or reviewed some basic programming methodology in Python, this book will get you there.
Amazon Verified review Amazon
Sushil Silwal Mar 22, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is really useful for anyone trying to get into data science or related field without any prior background as the book details the step-by-step learning tutorials from the very basics. I am not new to the field and still it is handy for me to frequently check few tips and tricks. I hope the author will consider writing a sequel as well.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is included in a Packt subscription? Chevron down icon Chevron up icon

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription? Chevron down icon Chevron up icon

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.