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Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Tình trạng: Còn hàng
Tác giả: O'Reilly
Loại: Data

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.

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I. THÔNG TIN SẢN PHẨM

Mã sản phẩm : STT326
Nhà xuất bản: O'Reilly
Tác giả :  Foster Provost, Tom Fawcett
Ngôn Ngữ : Tiếng Anh
ISBN      : 1449361323
Số trang ‏ : ‎ 413 Pages
Hình thức : Bìa Mềm, in đen trắng
Loại : Sách gia công
Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và hightlight thoải mái.
Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.

II. MÔ TẢ SẢN PHẨM

1.Mô tả sản phẩm
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 ten 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.

2.Tác giả
Foster Provost is Professor and NEC Faculty Fellow at the NYU Stern School of Business where he teaches in the MBA, Business Analytics, and Data Science programs. His award-winning research is read and cited broadly. Prof. Provost has co-founded several successful companies focusing on data science for marketing.

Tom Fawcett holds a Ph.D. in machine learning and has worked in industry R&D for more than two decades for companies such as GTE Laboratories, NYNEX/Verizon Labs, and HP Labs. His published work has become standard reading in data science.
 

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