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UMN - Analytics for Decision Making Specialization 

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Analytics for Decision Making Specialization
 at 
Coursera 
Overview

Duration

4 months

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Total fee

Free

Mode of learning

Online

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Credential

Certificate

Analytics for Decision Making Specialization
 at 
Coursera 
Highlights

  • Earn a certificate upon completion from Coursera
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Analytics for Decision Making Specialization
 at 
Coursera 
Course details

More about this course
  • The field of analytics is typically built on four pillars: Descriptive Analytics, Predictive Analytics, Causal Analytics, and Prescriptive Analytics. Descriptive analytics (e.g., visualization, BI) deal with the exploration of data for patterns, predictive analytics (e.g., data mining, time-series forecasting) identifies what can happen next, causal modeling establishes causation, and prescriptive analytics help with formulating decisions
  • This specialization focuses on the Prescriptive Analytics (the final pillar)
  • This specialization will review basic predictive modeling techniques that can be used to estimate values of relevant parameters, and then use optimization and simulation techniques to formulate decisions based on these parameter values and situational constraints
  • The specialization will teach how to model and solve decision-making problems using predictive models, linear optimization, and simulation methods
  • By the end of this specialization, learners will have completed four different types of projects using analytics, modeling, and simulation techniques to prescribe and inform decisions for a wide range of business problems
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Analytics for Decision Making Specialization
 at 
Coursera 
Curriculum

Introduction to Predictive Modeling

Optimization for Decision Making

Advanced Models for Decision Making

Simulation Models for Decision Making

Analytics for Decision Making Specialization
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Analytics for Decision Making Specialization
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