Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
The Applied Data Science Workshop
The Applied Data Science Workshop

The Applied Data Science Workshop: Get started with the applications of data science and techniques to explore and assess data effectively , Second Edition

eBook
€15.99 €23.99
Paperback
€29.99
Subscription
Free Trial
Renews at €18.99p/m

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Billing Address

Table of content icon View table of contents Preview book icon Preview Book

The Applied Data Science Workshop

2. Data Exploration with Jupyter

Overview

In this chapter, we'll finally get our hands on some data and work through an exploratory analysis, where we'll compute some informative metrics and visualizations. By the end of this chapter, you will be able to use the pandas Python library to load tabular data and run calculations on it, and the seaborn Python library to create visualizations.

Introduction

So far, we have taken a glance at the data science ecosystem and jumped into learning about Jupyter, the tool that we'll be using throughout this book for our coding exercises and activities. Now, we'll shift our focus away from learning about Jupyter and start actually using it for analysis.

Data visualization and exploration are important steps in the data science process. This is how you can learn about your data and make sure you understand it completely. Visualizations can be used as a means of discovering unusual records in datasets and presenting that information to others.

In addition to understanding and gaining fundamental trust in data, your analysis may lead to the discovery of patterns and insights in the data. In some cases, these patterns can prompt further research and ultimately be very beneficial to your business.

Applied knowledge of a high-level programming language such as Python or R will make datasets accessible to you, from...

Our First Analysis – the Boston Housing Dataset

The dataset we'll be looking at in this section is the so-called Boston Housing dataset. It contains US census data concerning houses in various areas around the city of Boston. Each sample corresponds to a unique area and has about a dozen measures. We should think of samples as rows and measures as columns. This data was first published in 1978 and is quite small, containing only about 500 samples.

Now that we know something about the context of the dataset, let's decide on a rough plan for the exploration and analysis stages. If applicable, this plan will accommodate the relevant questions under study. In this case, the goal is not to answer a question, but to show Jupyter in action and illustrate some basic data analysis methods.

Our general approach to this analysis will be to do the following:

  • Load the data into Jupyter using a pandas DataFrame
  • Quantitatively understand the features
  • Look for...

Summary

In this chapter, we ran an exploratory analysis in a live Jupyter Notebook environment. In doing so, we used visualizations such as scatter plots, histograms, and violin plots to deepen our understanding of the data. We also performed simple predictive modeling, a topic that will be the focus of the following chapters in this book.

In the next chapter, we will discuss how to approach predictive analytics and what things to consider when preparing the data for modeling. We'll use pandas to explore methods of data preprocessing, such as filling missing data, converting from categorical to numeric features, and splitting data into training and testing sets.

Left arrow icon Right arrow icon
Download code icon Download Code

Key benefits

  • Gain useful insights into data science and machine learning
  • Explore the different functionalities and features of a Jupyter Notebook
  • Discover how Python libraries are used with Jupyter for data analysis

Description

From banking and manufacturing through to education and entertainment, using data science for business has revolutionized almost every sector in the modern world. It has an important role to play in everything from app development to network security. Taking an interactive approach to learning the fundamentals, this book is ideal for beginners. You’ll learn all the best practices and techniques for applying data science in the context of real-world scenarios and examples. Starting with an introduction to data science and machine learning, you’ll start by getting to grips with Jupyter functionality and features. You’ll use Python libraries like sci-kit learn, pandas, Matplotlib, and Seaborn to perform data analysis and data preprocessing on real-world datasets from within your own Jupyter environment. Progressing through the chapters, you’ll train classification models using sci-kit learn, and assess model performance using advanced validation techniques. Towards the end, you’ll use Jupyter Notebooks to document your research, build stakeholder reports, and even analyze web performance data. By the end of The Applied Data Science Workshop, you’ll be prepared to progress from being a beginner to taking your skills to the next level by confidently applying data science techniques and tools to real-world projects.

Who is this book for?

If you are an aspiring data scientist who wants to build a career in data science or a developer who wants to explore the applications of data science from scratch and analyze data in Jupyter using Python libraries, then this book is for you. Although a brief understanding of Python programming and machine learning is recommended to help you grasp the topics covered in the book more quickly, it is not mandatory.

What you will learn

  • Understand the key opportunities and challenges in data science
  • Use Jupyter for data science tasks such as data analysis and modeling
  • Run exploratory data analysis within a Jupyter Notebook
  • Visualize data with pairwise scatter plots and segmented distribution
  • Assess model performance with advanced validation techniques
  • Parse HTML responses and analyze HTTP requests

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 22, 2020
Length: 352 pages
Edition : 2nd
Language : English
ISBN-13 : 9781800207004
Category :
Languages :
Concepts :
Tools :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Billing Address

Product Details

Publication date : Jul 22, 2020
Length: 352 pages
Edition : 2nd
Language : English
ISBN-13 : 9781800207004
Category :
Languages :
Concepts :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
€18.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ 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
€189.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ 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
€264.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ 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 92.97
The Data Science Workshop
€32.99
The Data Analysis Workshop
€29.99
The Applied Data Science Workshop
€29.99
Total 92.97 Stars icon
Banner background image

Table of Contents

6 Chapters
1. Introduction to Jupyter Notebooks Chevron down icon Chevron up icon
2. Data Exploration with Jupyter Chevron down icon Chevron up icon
3. Preparing Data for Predictive Modeling Chevron down icon Chevron up icon
4. Training Classification Models Chevron down icon Chevron up icon
5. Model Validation and Optimization Chevron down icon Chevron up icon
6. Web Scraping with Jupyter Notebooks Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(1 Ratings)
5 star 100%
4 star 0%
3 star 0%
2 star 0%
1 star 0%
Lera Sep 23, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Amazing and very thorough, recommend it
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

How do I buy and download an eBook? Chevron down icon Chevron up icon

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? Chevron down icon Chevron up icon

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

  1. Register on our website using your email address and the password.
  2. Search for the title by name or ISBN using the search option.
  3. Select the title you want to purchase.
  4. 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. 
  5. Proceed with the checkout process (payment to be made using Credit Card, Debit Cart, or PayPal)
Where can I access support around an eBook? Chevron down icon Chevron up icon
  • 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? Chevron down icon Chevron up icon

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? Chevron down icon Chevron up icon
  • 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? Chevron down icon Chevron up icon

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.