Data Science for Business
What You Need to Know About Data Mining and Data-Analytic Thinking
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Narrated by:
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Benjamin Lange
About this listen
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 BooksListeners also enjoyed...
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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
- By GoingGoingGone... on 07-01-18
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Winning with Data
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- Narrated by: James Patrick Cronin
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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
- By Adam Winn on 12-22-16
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Human + Machine
- Reimagining Work in the Age of AI
- By: Paul R. Daugherty, H. James Wilson
- Narrated by: Jamie Renell
- Length: 5 hrs and 55 mins
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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
- By C. Surdak on 07-30-18
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More Than You Know
- Finding Financial Wisdom in Unconventional Places
- By: Michael J. Mauboussin
- Narrated by: Sean Runnette
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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
- By Ian on 11-24-18
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Design Thinking in Business and IT: Overview, Techniques and Example Workshop
- By: Florian Heuer
- Narrated by: Bryan Stout
- Length: 1 hr and 4 mins
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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
- By Preston on 04-09-16
By: Florian Heuer
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Excellent complement to an introductory course in Data Science
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Software Engineering at Google
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not useful
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Competing on Analytics
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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.
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Uncompelling
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Fundamentals of Software Architecture
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Overall
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Performance
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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.
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Helpful but business-centric
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What listeners say about Data Science for Business
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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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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- 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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1 person found this helpful
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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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1 person found this helpful
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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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2 people found this helpful
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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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