Cargando…

Prescriptive analytics.

7+ Hours of Video Instruction 7+ Hours of Direct Instruction in Prescriptive Analytics Foundations, Methods, Applications, and Best Practices Overview: Prescriptive Analytics for Optimal Decision-Making LiveLessons is designed and developed to provide comprehensive coverage of the underlying concept...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : Pearson, [2022]
Edición:[First edition].
Colección:LiveLessons (Boston, Massachusetts)
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

LEADER 00000cgm a22000007i 4500
001 OR_on1344341769
003 OCoLC
005 20231017213018.0
006 m o c
007 vz czazuu
007 cr cnannnuuuuu
008 220913s2022 xx 444 o vleng d
040 |a ORMDA  |b eng  |e rda  |e pn  |c ORMDA  |d OCLCF 
019 |a 1362786693 
020 |a 9780135946350  |q (electronic video) 
020 |a 0135946352  |q (electronic video) 
029 1 |a AU@  |b 000072790596 
035 |a (OCoLC)1344341769  |z (OCoLC)1362786693 
037 |a 9780135946350  |b O'Reilly Media 
050 4 |a QA76.9.Q36 
082 0 4 |a 001.4/2  |2 23/eng/20220913 
049 |a UAMI 
245 0 0 |a Prescriptive analytics. 
250 |a [First edition]. 
264 1 |a [Place of publication not identified] :  |b Pearson,  |c [2022] 
300 |a 1 online resource (1 video file (7 hr., 24 min.)) :  |b sound, color. 
306 |a 072400 
336 |a two-dimensional moving image  |b tdi  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
344 |a digital  |2 rdatr 
347 |a video file  |2 rdaft 
380 |a Instructional films  |2 lcgft 
490 1 |a Live lessons 
511 0 |a Dursun Delen, presenter. 
520 |a 7+ Hours of Video Instruction 7+ Hours of Direct Instruction in Prescriptive Analytics Foundations, Methods, Applications, and Best Practices Overview: Prescriptive Analytics for Optimal Decision-Making LiveLessons is designed and developed to provide comprehensive coverage of the underlying concepts and definitions of business analytics, and specifically prescriptive analytics, in order to clarify the confusion about the already crowded terminology and buzzwords for these popular evidence-based managerial decisioning trends. Prescriptive analytics are where the optimal decisions are made, often based on the information provided by descriptive and predictive analytics layers. The lesson structure in this course provides a natural progression of the foundational concepts, methods, and methodologies of prescriptive analytics as well as their application areas, the best practices, a variety of software tools, and how to use those tools to identify the best decision for a given, often overly complex, real-world problem. Based on this foundational understanding, the course builds hands-on skills with a variety of popular prescriptive analytics tools and platforms (including Microsoft Excel) using intuitive examples and simplified data sets. The key idea is to build both awareness and in-depth understanding of prescriptive analytics best practices through intuitive, visual, and hands-on applications and case studies. Skill Level: There is not a required minimum skill or knowledge level to take this course. Because of its holistic coverage, the course appeals to anyone (students and professionals) at any level of technical or managerial skill levels who are interested in learning about prescriptive analytics and its value propositions. Learn How To: The course provides a thorough yet easy-to-digest coverage of analytics (business analytics in general and prescriptive analytics in specific) concepts, theories, and best practices, followed by visual, intuitive, and highly practical hands-on illustrative examples using a variety of data sets and industry-leading software tools and platforms. Who Should Take This Course: This course is designed for anyone who is interested in learning about the best practices of prescriptive analytics and rapidly moving into practical extension of this popular technology of optimal decision-making with a minimal investment of time and resources. Course Requirements: There are no specific prerequisites or must-have requirements for this course. It is designed to attract and benefit anyone at any skill and managerial level who is interested in learning prescriptive analytics best practices, concepts, methods, tools and techniques. Lesson Descriptions: Lesson 1: Introduction to Prescriptive Analytics and Optimal Decision-Making Lesson 2: Optimal Decision-Making with Linear Programming Lesson 3: Heuristic Optimization with Evolutionary/Genetic Algorithms Lesson 4: Simulation Modeling for Decision Making Lesson 5: Multi-Criteria Decision-Making Methods Lesson 6: Expert Systems-Based Decisioning Systems Lesson 7: The Future of Prescriptive Analytics About Pearson Video Training: Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Sams, and Que Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video. 
588 0 |a Online resource; title from title details screen (O'Reilly, viewed September 13, 2022). 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Quantitative research. 
650 0 |a Business intelligence. 
650 0 |a Management  |x Statistical methods. 
650 0 |a Decision making  |x Statistical methods. 
650 7 |a Business intelligence.  |2 fast  |0 (OCoLC)fst00842723 
650 7 |a Decision making  |x Statistical methods.  |2 fast  |0 (OCoLC)fst00889068 
650 7 |a Management  |x Statistical methods.  |2 fast  |0 (OCoLC)fst01007232 
650 7 |a Quantitative research.  |2 fast  |0 (OCoLC)fst01742283 
655 7 |a Instructional films.  |2 fast  |0 (OCoLC)fst01726236 
655 7 |a Internet videos.  |2 fast  |0 (OCoLC)fst01750214 
655 7 |a Nonfiction films.  |2 fast  |0 (OCoLC)fst01710269 
655 7 |a Instructional films.  |2 lcgft 
655 7 |a Nonfiction films.  |2 lcgft 
655 7 |a Internet videos.  |2 lcgft 
700 1 |a Delen, Dursun,  |e presenter. 
710 2 |a Pearson (Firm),  |e publisher. 
830 0 |a LiveLessons (Boston, Massachusetts) 
856 4 0 |u https://learning.oreilly.com/videos/~/9780135946350/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
994 |a 92  |b IZTAP