Home > Art, Film & Photography > Prescriptive Analytics LiveLessons
Prescriptive Analytics LiveLessons

Prescriptive Analytics LiveLessons

          
5
4
3
2
1

Out of Stock


Premium quality
Premium quality
Bookswagon upholds the quality by delivering untarnished books. Quality, services and satisfaction are everything for us!
Easy Return
Easy return
Not satisfied with this product! Keep it in original condition and packaging to avail easy return policy.
Certified product
Certified product
First impression is the last impression! Address the book’s certification page, ISBN, publisher’s name, copyright page and print quality.
Secure Checkout
Secure checkout
Security at its finest! Login, browse, purchase and pay, every step is safe and secured.
Money back guarantee
Money-back guarantee:
It’s all about customers! For any kind of bad experience with the product, get your actual amount back after returning the product.
On time delivery
On-time delivery
At your doorstep on time! Get this book delivered without any delay.
Notify me when this book is in stock
Add to Wishlist

About the Book

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. Video Lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.

Table of Contents:
Introduction Lesson 1: Introduction to Prescriptive Analytics and Optimal Decision-Making 1.1 Overview of Business Analytics and Data Science 1.2 An Overview of the Human Decision-Making Process 1.3 A Simple Timeline and Taxonomy for Business Analytics 1.4 Analytics Success Story: UPS’s ORION Project Lesson 2: Optimal Decision-Making with Linear Programming 2.1 Introduction to Optimization and Linear Programming 2.2 Linear Programming 2.3 Graphic Solution for Linear Programming Problems 2.4 Solving Optimization Problems in Excel with Solver Add-In Lesson 3: Heuristic Optimization with Evolutionary/Genetic Algorithms 3.1 Heuristic Programming 3.2 Genetic Algorithms 3.3 How Genetic Algorithms Work 3.4 GA Application in Excel Lesson 4: Simulation Modeling for Decision-Making 4.1 Basics of Simulation Modeling 4.2 Applications and Types of Simulation Modeling 4.3 Simulation Development Process 4.4 Monte Carlo Simulation (with Excel) 4.6 Process Simulation (with Simio) Lesson 5: Multi-Criteria Decision-Making Methods 5.1 MCDM and Types of Decisions 5.2 Weighted Sum Model 5.3 Analytic Hierarchy Process 5.4 Analytic Network Process 5.5 Fuzzy Logic for Imprecise Information and Reasoning Lesson 6: Expert System-Based Decisioning Systems 6.1 Expert Systems fas Part of AI 6.2 Overview and Application of ES 6.3 Structure of an Expert System 6.4 Case-based Reasoning Systems Lesson 7: The Future of Prescriptive Analytics 7.1 Big Data, Analytics, and the IoT Systems 7.2 Deep Learning versus Shallow Learning 7.3 Cognitive Computing and Searching 7.4 Demonstration of Big Data Technologies on the Cloud Summary


Best Sellers


Product Details
  • ISBN-13: 9780138066116
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Pearson Education (US)
  • Language: English
  • ISBN-10: 0138066116
  • Publisher Date: 02 Sep 2022
  • Binding: Digital


Similar Products

How would you rate your experience shopping for books on Bookswagon?

Add Photo
Add Photo

Customer Reviews

REVIEWS           
Click Here To Be The First to Review this Product
Prescriptive Analytics LiveLessons
Pearson Education (US) -
Prescriptive Analytics LiveLessons
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Prescriptive Analytics LiveLessons

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book
    Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!
    ASK VIDYA