The Art of Data Science (The Book + Lecture Videos)
The Art of Data Science
A Guide for Anyone Who Works with Data
About the Book
Data analysis is a difficult process largely because few people can describe exactly how to do it. It's not that there aren't any people doing data analysis on a regular basis. It's that the process by which we state a question, explore data, conduct formal modeling, interpret results, and communicate findings, is a difficult process to generalize and abstract. Fundamentally, data analysis is an art. It is not yet something that we can easily automate. Data analysts have many tools at their disposal, from linear regression to classification trees to random forests, and these tools have all been carefully implemented on computers. But ultimately, it takes a data analyst—a person—to find a way to assemble all of the tools and apply them to data to answer a question of interest to people.
This book writes down the process of data analysis with a minimum of technical detail. What we describe is not a specific "formula" for data analysis, but rather is a general process that can be applied in a variety of situations. Through our extensive experience both managing data analysts and conducting our own data analyses, we have carefully observed what produces coherent results and what fails to produce useful insights into data. This book is a distillation of our experience in a format that is applicable to both practitioners and managers in data science.
If you are interested in obtaining a printed copy of this book, you can purchase one at Lulu.
The package containing the lecture videos offers short commentaries on each of the chapters and contains addtional explanatory material for each of the topics. In addition there is some material in the lectures that is not included in the book.
About the Authors
Packages
The Book + Lecture Videos
This package includes the book and lecture video files. The videos and chapters are aligned so that together they make an ideal self-learning curriculum in which students interested in data science can pair video lectures with reading material. The videos complement the reading material by extending concepts covered in the book and by providing visual and auditory presentation of the concepts. This self-guided curriculum can be covered at any pace and the completion of material should provide students with a solid foundation for thinking about the data science process. The complete package should be of interest to students interested in doing their own data analyses and to people who need to manage data science teams.
PDF
EPUB
MOBI
WEB
English
The Book
PDF
EPUB
MOBI
WEB
English
About the Contributors
Table of Contents
- 1. Data Analysis as Art
-
2. Epicycles of Analysis
- 2.1 Setting the Scene
- 2.2 Epicycle of Analysis
- 2.3 Setting Expectations
- 2.4 Collecting Information
- 2.5 Comparing Expectations to Data
- 2.6 Applying the Epicycle of Analysis Process
-
3. Stating and Refining the Question
- 3.1 Types of Questions
- 3.2 Applying the Epicycle to Stating and Refining Your Question
- 3.3 Characteristics of a Good Question
- 3.4 Translating a Question into a Data Problem
- 3.5 Case Study
- 3.6 Concluding Thoughts
-
4. Exploratory Data Analysis
- 4.1 Exploratory Data Analysis Checklist: A Case Study
- 4.2 Formulate your question
- 4.3 Read in your data
- 4.4 Check the Packaging
- 4.5 Look at the Top and the Bottom of your Data
- 4.6 ABC: Always be Checking Your “n”s
- 4.7 Validate With at Least One External Data Source
- 4.8 Make a Plot
- 4.9 Try the Easy Solution First
- 4.10 Follow-up Questions
-
5. Using Models to Explore Your Data
- 5.1 Models as Expectations
- 5.2 Comparing Model Expectations to Reality
- 5.3 Reacting to Data: Refining Our Expectations
- 5.4 Examining Linear Relationships
- 5.5 When Do We Stop?
- 5.6 Summary
-
6. Inference: A Primer
- 6.1 Identify the population
- 6.2 Describe the sampling process
- 6.3 Describe a model for the population
- 6.4 A Quick Example
- 6.5 Factors Affecting the Quality of Inference
- 6.6 Example: Apple Music Usage
- 6.7 Populations Come in Many Forms
-
7. Formal Modeling
- 7.1 What Are the Goals of Formal Modeling?
- 7.2 General Framework
- 7.3 Associational Analyses
- 7.4 Prediction Analyses
- 7.5 Summary
-
8. Inference vs. Prediction: Implications for Modeling Strategy
- 8.1 Air Pollution and Mortality in New York City
- 8.2 Inferring an Association
- 8.3 Predicting the Outcome
- 8.4 Summary
-
9. Interpreting Your Results
- 9.1 Principles of Interpretation
- 9.2 Case Study: Non-diet Soda Consumption and Body Mass Index
-
10. Communication
- 10.1 Routine communication
- 10.2 The Audience
- 10.3 Content
- 10.4 Style
- 10.5 Attitude
- 11. Concluding Thoughts
- About the Authors
Other books by these authors
The Leanpub 45-day 100% Happiness Guarantee
Within 45 days of purchase you can get a 100% refund on any Leanpub purchase, in two clicks.
See full terms
Do Well. Do Good.
Authors have earned$10,578,526writing, publishing and selling on Leanpub, earning 80% royalties while saving up to 25 million pounds of CO2 and up to 46,000 trees.
Learn more about writing on Leanpub
Free Updates. DRM Free.
If you buy a Leanpub book, you get free updates for as long as the author updates the book! Many authors use Leanpub to publish their books in-progress, while they are writing them. All readers get free updates, regardless of when they bought the book or how much they paid (including free).
Most Leanpub books are available in PDF (for computers), EPUB (for phones and tablets) and MOBI (for Kindle). The formats that a book includes are shown at the top right corner of this page.
Finally, Leanpub books don't have any DRM copy-protection nonsense, so you can easily read them on any supported device.
Learn more about Leanpub's ebook formats and where to read them
Top Books
- #1
Functional Programming Made Easier
Charles ScalfaniA Functional Programming book from beginner to advanced without skipping a single step along the way.
In my 40 years of programming, I've felt that programming books always let me down, especially Functional Programming books. So, I wrote the book I wish I had 5 years ago.
Functional Programming will never be easy, but it can be easier.
- #2
Continuous Delivery Pipelines
Dave FarleyThis practical handbook provides a step-by-step guide for you to get the best continuous delivery pipeline for your software.
- #3
Composing Software
Eric ElliottAll software design is composition: the act of breaking complex problems down into smaller problems and composing those solutions. Most developers have a limited understanding of compositional techniques. It's time for that to change.
- #4
C++20
Rainer GrimmC++20 is the next big C++ standard after C++11. As C++11 did it, C++20 changes the way we program modern C++. This change is, in particular, due to the big four of C++20: ranges, coroutines, concepts, and modules.
- #5
GitOps
Dr. Simon Harrer, Anja Kammer, and Florian BeetzGitOps has caused quite some fuss on Twitter and KubeCon, and still continues to do so. This book aggregates the essence of GitOps to help clear up the confusion.
This book answers the following questions:
- What is GitOps?
- Why should I use GitOps?
- How does GitOps work?
- How to get started with GitOps on Kubernetes?
- What's the Future of GitOps?
- #6
CCIE SP v5.0
Łukasz Bromirski, Piotr Jablonski, and Nicholas RussoAre you striving to prepare to and pass CCIE SP lab exam? Take the opportunity and get this workbook! With the attached initial cfg files you will prepare yourself for the CCIE SP exam as well as learn SP technologies applicable to all kinds of today modern networks! This workbook covers blueprint topics and provides challenging examples.
- #7
Atomic Kotlin
Bruce Eckel and Svetlana IsakovaFor both beginning and experienced programmers! From the author of the multi-award-winning Thinking in C++ and Thinking in Java and a Kotlin team member comes a book that breaks concepts into small, easy-to-digest "atoms," along with exercises supported by hints and solutions directly inside IntelliJ IDEA! Full support at www.AtomicKotlin.com.
- #8
C++20 - The Complete Guide
Nicolai M. JosuttisAll the new language and library features of C++20 (for those who know previous versions).
The book presents all new language and library features of C++20. Learn how this impacts day-to-day programming, to benefit in practice, to combine new features, and to avoid all new traps.
Buy early, pay less, free updates.
Other books:
- #9
Learning Algorithms Through Programming and Puzzle Solving
Alexander S. Kulikov and Pavel PevznerThis book powers our MicroMasters program on edX and specialization on Coursera, one of the ten most popular computer science courses on Coursera. Over half a million students have tried to solve many programming challenges and algorithmic puzzles described in this book. We invite you to join them! See the webpage of the book for more details.
- #10
C++ Best Practices
Jason TurnerLevel up your C++, get the tools working for you, eliminate common problems, and move on to more exciting things!
- #11
Ansible for DevOps
Jeff GeerlingAnsible is a simple, but powerful, server and configuration management tool. Learn to use Ansible effectively, whether you manage one server—or thousands.
- #12
Stratospheric
Tom Hombergs, Björn Wilmsmann, and Philip RiecksFrom Zero to Production with Spring Boot and AWS. All you need to know to get a Spring Boot application into production with AWS. No previous AWS knowledge required.
- #13
Concurrency with Modern C++
Rainer GrimmC++11 is the first C++ standard that deals with concurrency. The story goes on with C++17, C++20, and will continue with C++23.
I'll give you a detailed insight into the current and the upcoming concurrency in C++. This insight includes the theory and a lot of practice.
- #14
Visualise, document and explore your software architecture
Simon BrownA short guide to visualising, documenting and exploring your software architecture.
- #15
Introducing EventStorming
Alberto BrandoliniThe deepest tutorial and explanation about EventStorming, straight from the inventor.
- #16
The Technological Future of Medical Specialties - 2021 Edition
Dr. Bertalan MeskoHow will the appearance of AI, sensors, wearables, VR/AR or robots affect each medical specialty? How can physicians of the various professions successfully prepare for the sweeping changes coming with the waves of technology? Read the eBook to find out
45-day Money-back guarantee: If you're not satisfied, simply return the book & get a full refund
- #17
Algebra-Driven Design
Sandy MaguireA how-to field guide on building leak-free abstractions and algebraically designing real-world applications.
- #18
CCDE Practice Design Scenarios
Marwan AlshawiCreated by the author of the official 'CCDE Study Guide' book, and reviewed by CCDE Experts
By purchasing this book here, you will be entitled to all the updates and new additions to this book. These updates and additions are going to be very frequent to keep this book always as an interesting and valuable resource.
- #19
Hands-On Quantum Machine Learning With Python
Frank ZickertYou're interested in quantum computing and machine learning...
But you don't know how to get started? Let me help.
Hands-On Quantum Machine Learning With Python is your comprehensive guide to get started with Quantum Machine Learning - the use of quantum computing for computation of machine learning algorithms.
- #20
The Hundred-Page Machine Learning Book
Andriy BurkovEverything you really need to know in Machine Learning in a hundred pages.
Top Bundles
- #1
Software Architecture for Developers: Volumes 1 & 2 - Technical leadership and communication
2 Books
"Software Architecture for Developers" is a practical and pragmatic guide to modern, lightweight software architecture, specifically aimed at developers. You'll learn:The essence of software architecture.Why the software architecture role should include coding, coaching and collaboration.The things that you really need to think about before... - #2
All the Books of The Medical Futurist
6 Books
We put together the most popular books from The Medical Futurist to provide a clear picture about the major trends shaping the future of medicine and healthcare. Digital health technologies, artificial intelligence, the future of 20 medical specialties, big pharma, data privacy, digital health investments and how technology giants such as Amazon... - #3
CCIE Service Provider Ultimate Study Bundle
2 Books
Piotr Jablonski, Lukasz Bromirski, and Nick Russo have joined forces to deliver the only CCIE Service Provider training resource you'll ever need. This bundle contains a detailed and challenging collection of workbook labs, plus an extensively detailed technical reference guide. All of us have earned the CCIE Service Provider certification... - #4
Software Architecture and Design Practice Reference
2 Books
Dive deeper in Software Architecture with the Design Practice Reference. Learn all about software architecture and design from the books in this bundle:Software Architecture covers topics from quality attributes to designing and modeling components, interfaces, connectors, and containers, all the way to services and microservices. The Design... - #7
9 Books-Bundle: Shut Up and Code!
9 Books
"Shut up and code." Laughter in the audience. The hacker had just plugged in his notebook and started sharing his screen to present his super-smart Python script. "Shut up and code" The letters written in a white literal coding font on black background was the hackers' home screen background mantra. At the time, I was a first-year computer...
