Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking/Foster Provost, Tom Fawcett

Descriere YEO:

Data Science for Business: What - Disponibil la elefant.ro

Pe YEO găsești Data Science for Business: What de la O\'Reilly Media, în categoria Foreign Books.

Indiferent de nevoile tale, Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking/Foster Provost, Tom Fawcett din categoria Foreign Books îți poate aduce un echilibru perfect între calitate și preț, cu avantaje practice și moderne.

Preț: 205.34 Lei

Caracteristicile produsului Data Science for Business: What

• Brand: O\'Reilly Media
• Categoria: Foreign Books
• Magazin: elefant.ro
• Ultima actualizare: 21-05-2025 02:24:32

Comandă Data Science for Business: What Online, Simplu și Rapid

Prin intermediul platformei YEO, poți comanda Data Science for Business: What de la elefant.ro rapid și în siguranță. Bucură-te de o experiență de cumpărături online optimizată și descoperă cele mai bune oferte actualizate constant.

Descriere magazin:
Written 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 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