August 2022
Beginner to intermediate
7h 23m
English
Overview
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:
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.
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
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.
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