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Prescriptive Analytics Project Ideation

Курс от University of Minnesota

Начальный≈ 11.8 чАнглийский

О курсе

Prescriptive Analytics Project Ideation is about the art of transforming data into actionable optimal strategies. This course begins with an overview of prescriptive analytics, exploring key methods like optimization and simulations. You'll then delve into real-world applications across various industries, with applications in investing and staffing optimization. The course also includes a comprehensive sprint phase for problem identification and solutions mapping, culminating in a final project plan review and insights from industry experts. Learning objectives: - Examine how prescriptive analytics methods are used by businesses to make optimal decisions. - Formulate optimization models to solve portfolio investment and staffing decisions - Analyze business needs and define a prescriptive analytics project plan

Навыки, которые вы освоите

Simulation and Simulation Software Model Optimization Analytics Process Mapping Advanced Analytics Simulations Goal Setting Business Priorities Business Analysis Project Scoping Project Planning Needs Assessment Ideation Process Optimization Operations Research Solution Design Investment Management Sprint Planning

Программа курса

5 модулей · 41 учебных материалов

01Specialization and Course Overview3 материалов

Introduction to Analytics Project Ideation Specialization OverviewВидео Personal IntroductionВидео Course OverviewВидео

02Module 1: Overview of Prescriptive Analytics10 материалов

Module 1 Part 1: What is Prescriptive Analytics?

Course 4 Module 1 Overview VideoВидео

Учитесь у экспертов

Soumya Sen

Associate Professor

Prescriptive Analytics Project Ideation

О курсе

Навыки, которые вы освоите

Программа курса

Module 1 Part 1: What is Prescriptive Analytics?

Учитесь у экспертов

Soumya Sen

Module 1 Part 2: Application of Prescriptive Analytics

Module 1 Wrap-up

Module 2 Part 1: Investment Optimization Formulation Example

Module 2 Part 2: Staffing Optimization Formulation Example

Module 2 Part 3: Discrete Event Simulations

Module 2 Wrap-up

Module 3 Part 1: High-level Needs Identification

Module 3 Part 2: SCQ Analysis (Airline Operations)

Module 3 Part 3: Identifying Subproblems

Module 3 Wrap-up

Module 4 Part 1: Results Mapping

Module 4 Part 2: Outcome Sketches

Module 4 Part 3: Final Project Plan

Module 4 Wrap-up