
Data Science for Business
What You Need to Know About Data Mining and Data-Analytic Thinking
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Narrado por:
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Benjamin Lange
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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...
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General
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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.
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Very insightful and actionable
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Designing for Growth
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- Narrado por: Nicol Zanzarella
- Duración: 6 h y 35 m
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General
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Historia
Jeanne Liedtka and Tim Ogilvie educate listeners on one of the hottest trends in business development: "design thinking", or the ability to turn abstract ideas into practical applications for maximal business growth. Jeanne Liedtka's recent book, The Catalyst: How YOU Can Lead Extraordinary Growth, was named a Top Innovation and Design Thinking Book by Business Week. Tim Ogilvie has been hailed as a visionary for his pioneering contributions to service innovation, business model innovation, and customer experience design.
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Audiobook requires regular book
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Winning with Data
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- De: Tomasz Tunguz, Frank Bien
- Narrado por: James Patrick Cronin
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- Versión completa
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Historia
Winning with Data explores the cultural changes big data brings to business, and shows you how to adapt your organization to leverage data to maximum effect. Authors Tomasz Tunguz and Frank Bien draw on extensive background in big data, business intelligence, and business strategy to provide a blueprint for companies looking to move head-on into the data wave. Instrumentation is discussed in detail, but the core of the change is in the culture.
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Content marketing
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Human + Machine
- Reimagining Work in the Age of AI
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- Narrado por: Jamie Renell
- Duración: 5 h y 55 m
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General
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Narración:
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Historia
Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now - in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?
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A golf course book
- De C. Surdak en 07-30-18
De: Paul R. Daugherty, y otros
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More Than You Know
- Finding Financial Wisdom in Unconventional Places
- De: Michael J. Mauboussin
- Narrado por: Sean Runnette
- Duración: 7 h y 27 m
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Since its first publication, Michael J. Mauboussin's popular guide to wise investing has been translated into eight languages and has been named best business book by BusinessWeek and best economics book by Strategy+Business. Now updated to reflect current research and expanded to include new chapters on investment philosophy, psychology, and strategy and science as they pertain to money management.
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Liked it better when it was written by Taleb
- De Ian en 11-24-18
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Design Thinking in Business and IT: Overview, Techniques and Example Workshop
- De: Florian Heuer
- Narrado por: Bryan Stout
- Duración: 1 h y 4 m
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General
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Narración:
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Historia
You might've talked about innovation with your IT department or software development agency lately and the words "design thinking" were surely mentioned. So what is it? Just another piece of business jargon to add to your arsenal or a useful tool? Or maybe even an overestimated hype? Nowadays every organization or business runs into a myriad of problems as business models become increasingly more complex. Globalization and advances in communication and technology, all add up to creating unique opportunities but also new challenges that are not easy to solve applying the old tested methods.
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Basic design thinking lesson
- De Preston en 04-09-16
De: Florian Heuer
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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.
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Audio still needs a final edit
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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.
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performance is borderline unlistenable
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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.
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Starts well then becomes non-Audible
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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.
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It does not work on Audible
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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.
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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.
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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.
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Great material for starters
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Data Smart
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General
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Data science gets thrown around in the press like it's magic. Major retailers are predicting everything, from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. Data science is little more than using straightforward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will teach how you how that's done within the familiar environment of a spreadsheet.
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Not suitable for audio
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De: John W. Foreman
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Cybersecurity
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Narración:
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Historia
No data is completely safe. Cyberattacks on companies and individuals are on the rise and growing not only in number but also in ferocity. And while you may think your company has taken all the precautionary steps to prevent an attack, no individual, company, or country is safe. Cybersecurity can no longer be left exclusively to IT specialists. Improving and increasing data security practices and identifying suspicious activity is everyone's responsibility, from the boardroom to the break room.
De: Harvard Business Review, y otros
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The Data Detective
- Ten Easy Rules to Make Sense of Statistics
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General
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Narración:
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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”.
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I expected more
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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.
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- Anonymous User
- 05-06-22
Perfect
The best book about data science I have consumed so far. I will definitely listen again.
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- 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.
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- 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!
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- 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.
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- 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.
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- 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!
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- 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
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