
Data Science for Business
What You Need to Know About Data Mining and Data-Analytic Thinking
No se pudo agregar al carrito
Add to Cart failed.
Error al Agregar a Lista de Deseos.
Error al eliminar de la lista de deseos.
Error al añadir a tu biblioteca
Error al seguir el podcast
Error al dejar de seguir el podcast
$0.99/mes por los primeros 3 meses

Compra ahora por $21.49
No default payment method selected.
We are sorry. We are not allowed to sell this product with the selected payment method
-
Narrado por:
-
Benjamin Lange
Acerca de esta escucha
Newly adapted for audiobook listeners.
Created by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.
Based on an MBA course Provost has taught at New York University over the past 10 years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.
Understand how data science fits in your organization - and how you can use it for competitive advantage.
Treat data as a business asset that requires careful investment if you’re to gain real value.
Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way.
Learn general concepts for actually extracting knowledge from data.
Apply data science principles when interviewing data science job candidates.
Download the accompanying reference guide.©2013 Foster Provost and Tom Fawcett (P)2021 Upfront BooksLos oyentes también disfrutaron...
-
Storytelling with Data
- A Data Visualization Guide for Business Professionals
- De: Cole Nussbaumer Knaflic
- Narrado por: Cole Nussbaumer Knaflic
- Duración: 5 h y 43 m
- Versión completa
-
General
-
Narración:
-
Historia
Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory but made accessible through numerous real-world examples - ready for immediate application to your next graph or presentation.
-
-
Very insightful and actionable
- De Amazon Customer en 04-27-18
-
Naked Statistics
- Stripping the Dread from the Data
- De: Charles Wheelan
- Narrado por: Jonathan Davis
- Duración: 10 h y 48 m
- Versión completa
-
General
-
Narración:
-
Historia
From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.
-
-
Starts well then becomes non-Audible
- De Michael en 09-07-13
De: Charles Wheelan
-
The Data Detective
- Ten Easy Rules to Make Sense of Statistics
- De: Tim Harford
- Narrado por: Tim Harford
- Duración: 10 h y 24 m
- Versión completa
-
General
-
Narración:
-
Historia
Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics - we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us”.
-
-
I expected more
- De A. Visserman en 03-09-21
De: Tim Harford
-
Designing Data-Intensive Applications
- The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- De: Martin Kleppmann
- Narrado por: Benjamin Lange
- Duración: 20 h y 56 m
- Versión completa
-
General
-
Narración:
-
Historia
Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
-
-
Must read for senior+ software engineers
- De Navid v en 05-29-21
De: Martin Kleppmann
-
Everything Data Analytics A Beginner's Guide to Data Literacy
- Understanding the Processes That Turn Data Into Insights
- De: Elizabeth Clarke
- Narrado por: Brennan Koenigsreuter
- Duración: 3 h y 22 m
- Versión completa
-
General
-
Narración:
-
Historia
With the world going remote, and data science following along, you can start and pursue a career in data right here, right now. How do I start? What do I need to know? What is data analytics? I'm sure one, if not all, of these questions have run through your mind. Well, the answer is data literacy: the ability to read, understand, and communicate data into information. Building a solid foundation of practical knowledge is the first step to being successful in data. From there, you can finally decide what direction you should go in and start gaining the required knowledge.
-
-
Great material for starters
- De Amazon Customer en 08-01-22
De: Elizabeth Clarke
-
The Art of Statistics
- How to Learn from Data
- De: David Spiegelhalter
- Narrado por: Jonathan Davis
- Duración: 9 h y 1 m
- Versión completa
-
General
-
Narración:
-
Historia
Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence - and even more so if we hope to participate in the future, rather than being simple bystanders.
-
-
very good statistics overview
- De Tom en 11-29-19
-
Storytelling with Data
- A Data Visualization Guide for Business Professionals
- De: Cole Nussbaumer Knaflic
- Narrado por: Cole Nussbaumer Knaflic
- Duración: 5 h y 43 m
- Versión completa
-
General
-
Narración:
-
Historia
Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory but made accessible through numerous real-world examples - ready for immediate application to your next graph or presentation.
-
-
Very insightful and actionable
- De Amazon Customer en 04-27-18
-
Naked Statistics
- Stripping the Dread from the Data
- De: Charles Wheelan
- Narrado por: Jonathan Davis
- Duración: 10 h y 48 m
- Versión completa
-
General
-
Narración:
-
Historia
From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.
-
-
Starts well then becomes non-Audible
- De Michael en 09-07-13
De: Charles Wheelan
-
The Data Detective
- Ten Easy Rules to Make Sense of Statistics
- De: Tim Harford
- Narrado por: Tim Harford
- Duración: 10 h y 24 m
- Versión completa
-
General
-
Narración:
-
Historia
Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics - we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us”.
-
-
I expected more
- De A. Visserman en 03-09-21
De: Tim Harford
-
Designing Data-Intensive Applications
- The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- De: Martin Kleppmann
- Narrado por: Benjamin Lange
- Duración: 20 h y 56 m
- Versión completa
-
General
-
Narración:
-
Historia
Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
-
-
Must read for senior+ software engineers
- De Navid v en 05-29-21
De: Martin Kleppmann
-
Everything Data Analytics A Beginner's Guide to Data Literacy
- Understanding the Processes That Turn Data Into Insights
- De: Elizabeth Clarke
- Narrado por: Brennan Koenigsreuter
- Duración: 3 h y 22 m
- Versión completa
-
General
-
Narración:
-
Historia
With the world going remote, and data science following along, you can start and pursue a career in data right here, right now. How do I start? What do I need to know? What is data analytics? I'm sure one, if not all, of these questions have run through your mind. Well, the answer is data literacy: the ability to read, understand, and communicate data into information. Building a solid foundation of practical knowledge is the first step to being successful in data. From there, you can finally decide what direction you should go in and start gaining the required knowledge.
-
-
Great material for starters
- De Amazon Customer en 08-01-22
De: Elizabeth Clarke
-
The Art of Statistics
- How to Learn from Data
- De: David Spiegelhalter
- Narrado por: Jonathan Davis
- Duración: 9 h y 1 m
- Versión completa
-
General
-
Narración:
-
Historia
Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence - and even more so if we hope to participate in the future, rather than being simple bystanders.
-
-
very good statistics overview
- De Tom en 11-29-19
-
Data Analytics Advantage
- A Beginner's Guide to Data Literacy, Practical Approach to Understanding and Using Data
- De: Ember Blau
- Narrado por: Lorraine Crowston
- Duración: 3 h y 28 m
- Versión completa
-
General
-
Narración:
-
Historia
Learning data analytics will open up new opportunities for you. Data analytics will be the most in-demand skill by 2030. Right now, the higher the data literacy the employee has the higher the salary he can get, for example in the US employees with solid data analytics knowledge can increase their annual salary by $11,000. (source: QLIK Technologies, Inc.)
-
-
fantastic resource
- De Mark Cheverton en 09-10-23
De: Ember Blau
-
Algorithms to Live By
- The Computer Science of Human Decisions
- De: Brian Christian, Tom Griffiths
- Narrado por: Brian Christian
- Duración: 11 h y 50 m
- Versión completa
-
General
-
Narración:
-
Historia
From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
-
-
Great listen, just don't expect tips!
- De Adam Hosman en 08-07-17
De: Brian Christian, y otros
-
Fundamentals of Software Architecture
- An Engineering Approach
- De: Mark Richards, Neal Ford
- Narrado por: Benjamin Lange
- Duración: 13 h y 10 m
- Versión completa
-
General
-
Narración:
-
Historia
This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.
-
-
Helpful but business-centric
- De A.N. en 03-25-21
De: Mark Richards, y otros
-
Build a Career in Data Science
- De: Emily Robinson, Jacqueline Nolis
- Narrado por: Jeromy Lloyd
- Duración: 14 h y 48 m
- Versión completa
-
General
-
Narración:
-
Historia
You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee.
-
-
Excellent complement to an introductory course in Data Science
- De Basheer en 07-15-21
De: Emily Robinson, y otros
-
The Model Thinker
- What You Need to Know to Make Data Work for You
- De: Scott E. Page
- Narrado por: Jamie Renell
- Duración: 15 h y 45 m
- Versión completa
-
General
-
Narración:
-
Historia
Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja.
-
-
It does not work on Audible
- De Hamilton Carvalho en 05-14-21
De: Scott E. Page
-
The Pragmatic Programmer: 20th Anniversary Edition, 2nd Edition
- Your Journey to Mastery
- De: David Thomas, Andrew Hunt
- Narrado por: Anna Katarina
- Duración: 9 h y 55 m
- Versión completa
-
General
-
Narración:
-
Historia
Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.
-
-
An excellent and entertaining technical book
- De Amazon Customer en 01-21-20
De: David Thomas, y otros
-
Everybody Lies
- Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
- De: Seth Stephens-Davidowitz, Steven Pinker - foreword
- Narrado por: Timothy Andrés Pabon
- Duración: 7 h y 39 m
- Versión completa
-
General
-
Narración:
-
Historia
By the end of on average day in the early 21st century, human beings searching the Internet will amass eight trillion gigabytes of data. This staggering amount of information - unprecedented in history - can tell us a great deal about who we are - the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than 20 years ago seemed unfathomable.
-
-
Leave out the politics please
- De Shane Hampson en 02-20-20
De: Seth Stephens-Davidowitz, y otros
-
Building Microservices
- Designing Fine-Grained Systems
- De: Sam Newman
- Narrado por: Theodore O'Brien
- Duración: 21 h y 12 m
- Versión completa
-
General
-
Narración:
-
Historia
As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.
-
-
Easy to Understand
- De Anonymous User en 04-27-22
De: Sam Newman
-
Clean Code
- A Handbook of Agile Software Craftsmanship
- De: Robert C. Martin
- Narrado por: Theodore O'Brien
- Duración: 5 h y 49 m
- Versión completa
-
General
-
Narración:
-
Historia
Noted software expert Robert C. Martin presents a revolutionary paradigm with Clean Code: A Handbook of Agile Software Craftsmanship. Martin has teamed up with his colleagues from Object Mentor to distill their best agile practice of cleaning code “on the fly” into a book that will instill within you the values of a software craftsman and make you a better programmer - but only if you work at it.
-
-
Quick fix needed
- De R L en 05-06-21
De: Robert C. Martin
-
Software Engineering at Google
- Lessons Learned from Programming Over Time
- De: Titus Winters, Tom Manshreck, Hyrum Wright
- Narrado por: Mark Sando
- Duración: 23 h y 36 m
- Versión completa
-
General
-
Narración:
-
Historia
How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.
-
-
not useful
- De Andreas Andersen en 07-21-21
De: Titus Winters, y otros
-
How To Win With Your Data Visualizations
- The 5 Part Guide For Junior Analysts To Create Effective Data Visualizations And Engaging Data Stories
- De: Elizabeth Clarke
- Narrado por: Brennan Koenigsreuter
- Duración: 4 h y 11 m
- Versión completa
-
General
-
Narración:
-
Historia
Smacking some numbers onto a pie chart is old news and simply doesn't work anymore. Keeping your audience inspired and on the edge of their seats through an engaging data story is what we as business professionals should be striving to do. How to Win with Your Data Visualizations uncovers the fundamentals of what makes a winning data presentation and has laid them out in five easy-to-understand parts you can immediately apply to your next chart and presentation to see a winning data story unfold.
-
-
Well researched
- De Abby en 02-11-23
De: Elizabeth Clarke
-
Machine Learning
- A Complete Exploration of Highly Advanced Machine Learning Concepts, Best Practices, and Techniques
- De: Peter Bradley
- Narrado por: Cliff Weldon
- Duración: 3 h y 3 m
- Versión completa
-
General
-
Narración:
-
Historia
Do you know how to build a machine learning algorithm in Python? Have you learned how to build a neural network in Python? If you have listened to the first three audiobooks in the series, you will know how to do both those things. If you want to learn more about the concepts related to machine learning and some subjects and concepts that are linked to machine learning, you have come to the right place.
-
-
intresting book
- De Umar Khan en 02-26-19
De: Peter Bradley
Featured Article: The best data science audiobooks to keep you safe and savvy
One of today's most important and most exciting fields, data science incorporates statistics, algorithms, scientific methods, programming skills, and more to draw insights and value from data for everything from creating targeted marketing campaigns to advancing medical research. Want to know more about this interdisciplinary study? We've used our own analytical skills to select the very best data science audiobooks and podcasts to be your guide.
Las personas que vieron esto también vieron...
-
Becoming a Data Head
- How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
- De: Alex J. Gutman, Jordan Goldmeier
- Narrado por: Brian Arens
- Duración: 7 h y 41 m
- Versión completa
-
General
-
Narración:
-
Historia
Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.
-
-
Great Start for Those interested in data.
- De armando en 09-02-24
De: Alex J. Gutman, y otros
-
Fundamentals of Data Analytics
- Learn Essential Skills, Embrace the Future, and Catapult Your Career in the Data-Driven World—A Comprehensive Guide to Data Literacy for Beginners
- De: Russell Dawson
- Narrado por: Michael F. Ward
- Duración: 4 h y 20 m
- Versión completa
-
General
-
Narración:
-
Historia
Gain a competitive edge in today’s data-driven world and build a rich career as a data professional that drives business success and innovation… Today, data is everywhere… and it has become the essential building block of this modern society. And that’s why now is the perfect time to pursue a career in data. But what does it take to become a competent data professional? This book is your ultimate guide to understanding the fundamentals of data analytics, helping you unlock the expertise of efficiently solving real-world data-related problems.
-
-
The Ultimate Guide to Building a Successful Career
- De chen06 en 01-29-24
De: Russell Dawson
-
Data Science for Dummies
- 2nd Edition
- De: Lillian Pierson, Jake Porway - foreword
- Narrado por: Chloe Cannon
- Duración: 10 h y 28 m
- Versión completa
-
General
-
Narración:
-
Historia
Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.
-
-
Avoid as it is useless
- De Ras en 03-01-20
De: Lillian Pierson, y otros
-
Data Analytics, Data Visualization & Communicating Data: 3 books in 1
- Learn the Processes of Data Analytics and Data Science, Create Engaging Data Visualizations, and Present Data Effectively
- De: Elizabeth Clarke
- Narrado por: Brennan Koenigsreuter
- Duración: 11 h y 2 m
- Versión completa
-
General
-
Narración:
-
Historia
Harvard Business Review called data science “the sexiest job of the 21st century,” so it's no surprise that data science jobs have grown up to 20x in the last 3 years. With demand outpacing supply, companies are willing to pay top dollar for talented data professionals. However…To stand out in one of these positions, having foundational knowledge of interpreting data is essential.
-
-
Make a Successful Career out of data Analytics
- De Kristin Reavis en 12-10-22
De: Elizabeth Clarke
-
Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- De: Joe Reis, Matt Housley
- Narrado por: Adam Verner
- Duración: 17 h y 31 m
- Versión completa
-
General
-
Narración:
-
Historia
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
-
-
Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros
-
Storytelling with Data
- A Data Visualization Guide for Business Professionals
- De: Cole Nussbaumer Knaflic
- Narrado por: Cole Nussbaumer Knaflic
- Duración: 5 h y 43 m
- Versión completa
-
General
-
Narración:
-
Historia
Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory but made accessible through numerous real-world examples - ready for immediate application to your next graph or presentation.
-
-
Very insightful and actionable
- De Amazon Customer en 04-27-18
-
Becoming a Data Head
- How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
- De: Alex J. Gutman, Jordan Goldmeier
- Narrado por: Brian Arens
- Duración: 7 h y 41 m
- Versión completa
-
General
-
Narración:
-
Historia
Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.
-
-
Great Start for Those interested in data.
- De armando en 09-02-24
De: Alex J. Gutman, y otros
-
Fundamentals of Data Analytics
- Learn Essential Skills, Embrace the Future, and Catapult Your Career in the Data-Driven World—A Comprehensive Guide to Data Literacy for Beginners
- De: Russell Dawson
- Narrado por: Michael F. Ward
- Duración: 4 h y 20 m
- Versión completa
-
General
-
Narración:
-
Historia
Gain a competitive edge in today’s data-driven world and build a rich career as a data professional that drives business success and innovation… Today, data is everywhere… and it has become the essential building block of this modern society. And that’s why now is the perfect time to pursue a career in data. But what does it take to become a competent data professional? This book is your ultimate guide to understanding the fundamentals of data analytics, helping you unlock the expertise of efficiently solving real-world data-related problems.
-
-
The Ultimate Guide to Building a Successful Career
- De chen06 en 01-29-24
De: Russell Dawson
-
Data Science for Dummies
- 2nd Edition
- De: Lillian Pierson, Jake Porway - foreword
- Narrado por: Chloe Cannon
- Duración: 10 h y 28 m
- Versión completa
-
General
-
Narración:
-
Historia
Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.
-
-
Avoid as it is useless
- De Ras en 03-01-20
De: Lillian Pierson, y otros
-
Data Analytics, Data Visualization & Communicating Data: 3 books in 1
- Learn the Processes of Data Analytics and Data Science, Create Engaging Data Visualizations, and Present Data Effectively
- De: Elizabeth Clarke
- Narrado por: Brennan Koenigsreuter
- Duración: 11 h y 2 m
- Versión completa
-
General
-
Narración:
-
Historia
Harvard Business Review called data science “the sexiest job of the 21st century,” so it's no surprise that data science jobs have grown up to 20x in the last 3 years. With demand outpacing supply, companies are willing to pay top dollar for talented data professionals. However…To stand out in one of these positions, having foundational knowledge of interpreting data is essential.
-
-
Make a Successful Career out of data Analytics
- De Kristin Reavis en 12-10-22
De: Elizabeth Clarke
-
Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- De: Joe Reis, Matt Housley
- Narrado por: Adam Verner
- Duración: 17 h y 31 m
- Versión completa
-
General
-
Narración:
-
Historia
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
-
-
Great for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros
-
Storytelling with Data
- A Data Visualization Guide for Business Professionals
- De: Cole Nussbaumer Knaflic
- Narrado por: Cole Nussbaumer Knaflic
- Duración: 5 h y 43 m
- Versión completa
-
General
-
Narración:
-
Historia
Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory but made accessible through numerous real-world examples - ready for immediate application to your next graph or presentation.
-
-
Very insightful and actionable
- De Amazon Customer en 04-27-18
-
Learn Power BI
- a Comprehensive, Step-By-Step Guide for Beginners to Learn Real-World Business Intelligence, 2nd Edition
- De: Greg Deckler
- Narrado por: Alex Freeman
- Duración: 10 h y 27 m
- Versión completa
-
General
-
Narración:
-
Historia
To succeed in today's transforming business world, organizations need business intelligence capabilities to make smarter decisions faster than ever before. This updated second edition of Learn Power BI takes you on a journey of data exploration and discovery.
-
-
Terrific supplement to his books!
- De K. Springer en 04-19-23
De: Greg Deckler
-
Data Science
- De: John D. Kelleher, Brendan Tierney
- Narrado por: Chris Sorensen
- Duración: 5 h y 51 m
- Versión completa
-
General
-
Narración:
-
Historia
It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.
-
-
performance is borderline unlistenable
- De jlouviere en 01-14-19
De: John D. Kelleher, y otros
-
Everything Data Analytics A Beginner's Guide to Data Literacy
- Understanding the Processes That Turn Data Into Insights
- De: Elizabeth Clarke
- Narrado por: Brennan Koenigsreuter
- Duración: 3 h y 22 m
- Versión completa
-
General
-
Narración:
-
Historia
With the world going remote, and data science following along, you can start and pursue a career in data right here, right now. How do I start? What do I need to know? What is data analytics? I'm sure one, if not all, of these questions have run through your mind. Well, the answer is data literacy: the ability to read, understand, and communicate data into information. Building a solid foundation of practical knowledge is the first step to being successful in data. From there, you can finally decide what direction you should go in and start gaining the required knowledge.
-
-
Great material for starters
- De Amazon Customer en 08-01-22
De: Elizabeth Clarke
-
Build a Career in Data Science
- De: Emily Robinson, Jacqueline Nolis
- Narrado por: Jeromy Lloyd
- Duración: 14 h y 48 m
- Versión completa
-
General
-
Narración:
-
Historia
You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee.
-
-
Excellent complement to an introductory course in Data Science
- De Basheer en 07-15-21
De: Emily Robinson, y otros
-
Data Analytics for Absolute Beginners: A Deconstructed Guide to Data Literacy
- Python for Data Science, Book 2
- De: Oliver Theobald
- Narrado por: Scott Morgan
- Duración: 3 h y 41 m
- Versión completa
-
General
-
Narración:
-
Historia
Make better decisions with this easy deconstructed guide to data analytics. Want to add data analytics to your skill stack? Having trouble finding where to start? Cell-by-cell, bit-by-bit, this audiobook teaches you the vocabulary, tools, and basic algorithms to think like a data scientist. Like putting together a complex Lego set, each section connects and adds individual blocks of knowledge to build your data literacy. This linear structure to unpacking data analytics takes you from zero to confidently analyzing and discussing data problems.
-
-
Audio still needs a final edit
- De Amazon Customer en 01-05-23
De: Oliver Theobald
-
The Model Thinker
- What You Need to Know to Make Data Work for You
- De: Scott E. Page
- Narrado por: Jamie Renell
- Duración: 15 h y 45 m
- Versión completa
-
General
-
Narración:
-
Historia
Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja.
-
-
It does not work on Audible
- De Hamilton Carvalho en 05-14-21
De: Scott E. Page
-
The Art of Statistics
- How to Learn from Data
- De: David Spiegelhalter
- Narrado por: Jonathan Davis
- Duración: 9 h y 1 m
- Versión completa
-
General
-
Narración:
-
Historia
Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence - and even more so if we hope to participate in the future, rather than being simple bystanders.
-
-
very good statistics overview
- De Tom en 11-29-19
-
Competing on Analytics
- The New Science of Winning
- De: Thomas H. Davenport, Jeanne G. Harris
- Narrado por: L. J. Ganser
- Duración: 10 h y 50 m
- Versión completa
-
General
-
Narración:
-
Historia
From two pioneers in business analytics, an update of the classic book on how analytics and business intelligence are transforming competition and how leading organizations build and compete on an analytical capability. Leading companies are doing more than just collecting and storing data in large quantities - they're now driving their competitive strategies based on data-driven insights. In Competing on Analytics, Davenport and Harris explain how analytics are transforming the basis of competition in industry after industry.
-
-
Uncompelling
- De Team Larkin en 10-14-18
De: Thomas H. Davenport, y otros
-
Naked Statistics
- Stripping the Dread from the Data
- De: Charles Wheelan
- Narrado por: Jonathan Davis
- Duración: 10 h y 48 m
- Versión completa
-
General
-
Narración:
-
Historia
From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.
-
-
Starts well then becomes non-Audible
- De Michael en 09-07-13
De: Charles Wheelan
-
Data Science: The Ultimate Guide to Data Analytics, Data Mining, Data Warehousing, Data Visualization, Regression Analysis, Database Querying, Big Data for Business and Machine Learning for Beginners
- De: Herbert Jones
- Narrado por: Sam Slydell
- Duración: 5 h y 18 m
- Versión completa
-
General
-
Narración:
-
Historia
Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.
-
-
Skip it
- De Amanda en 02-27-19
De: Herbert Jones
-
Designing Data-Intensive Applications
- The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- De: Martin Kleppmann
- Narrado por: Benjamin Lange
- Duración: 20 h y 56 m
- Versión completa
-
General
-
Narración:
-
Historia
Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
-
-
Must read for senior+ software engineers
- De Navid v en 05-29-21
De: Martin Kleppmann
-
Introducing Python (2nd Edition)
- Modern Computing in Simple Packages
- De: Bill Lubanovic
- Narrado por: Derek Dysart
- Duración: 13 h y 3 m
- Versión completa
-
General
-
Narración:
-
Historia
Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.
-
-
Exactly what I wanted and expected.
- De ridgeway137 en 03-05-24
De: Bill Lubanovic
Lo que los oyentes dicen sobre Data Science for Business
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
-
Total
-
Ejecución
-
Historia
- Nethania S.
- 08-13-23
10/10 would recommend
Excellent material and adaptation for audio learning. I’ve been studying and performing data science and analytics professionally for years and this has been the single best developmental resource I’ve found.
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.
Has calificado esta reseña.
Reportaste esta reseña
esto le resultó útil a 1 persona
-
Total
-
Ejecución
-
Historia
- Anonymous User
- 05-06-22
Perfect
The best book about data science I have consumed so far. I will definitely listen again.
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.
Has calificado esta reseña.
Reportaste esta reseña
esto le resultó útil a 1 persona
-
Total
-
Ejecución
-
Historia
- Jeff Hoppas
- 08-19-21
Very Informative - Learned a Ton
Aside from overuse of the word ‘undergird’, very well written and performed. Held my attention and taught me a lot!
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.
Has calificado esta reseña.
Reportaste esta reseña
esto le resultó útil a 1 persona
-
Total
-
Ejecución
-
Historia
- Voytek
- 09-06-24
A book for everyone except data scientists.
It was harder to follow than I expected, despite having some prior exposure to data science and engineering. It strikes a balance where it's not overly technical, yet still challenging enough to push most readers. Overall, it was a positive experience and a worthwhile read. I'd recommend it for those looking to stretch their understanding of the field without diving too deep into the technicalities.
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.
Has calificado esta reseña.
Reportaste esta reseña
-
Total
-
Ejecución
-
Historia
- Sean
- 05-20-22
What I Was Looking For
I was looking for a book that would help me think analytically rather than something technical and I found it with this. Keep in mind though, it DOES get technical at times, but the meat and purpose of the book is more about the fundamentals and way of thinking when tackling data. I also loves that it comes with an accompanying PDF. Finally, this audio book is actually an AUDIO book - not just a reading of the written version, so some words are changed to reflect that, including the narration of charts and graphs.
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.
Has calificado esta reseña.
Reportaste esta reseña
esto le resultó útil a 2 personas
-
Total
-
Ejecución
-
Historia
- Food By The Word
- 08-28-24
Very informative!
I like the simple break down and flow of this audio book. It clear gives a better understanding of what data science looks like!
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.
Has calificado esta reseña.
Reportaste esta reseña
-
Total
-
Ejecución
- Worth a look
- 06-24-22
Not enough charts in PDF
The reader was a good fit, but few of the referenced charts or graphs were in the accompanying PDF, and were very difficult to understand based off narration alone
Se ha producido un error. Vuelve a intentarlo dentro de unos minutos.
Has calificado esta reseña.
Reportaste esta reseña