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Analytics for Decision Making Specialization 

Analytics for Decision Making Specialization
 at 
UMN 
Overview

Learn the basics of predictive and prescriptive analytics to further your career options in the area of business analytics

Duration

1 month

Mode of learning

Online

Difficulty level

Beginner

Official Website

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Course Level

UG Certificate

Analytics for Decision Making Specialization
 at 
UMN 
Highlights

  • Earn a certificate after completion of the course
  • Financial aid available
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Analytics for Decision Making Specialization
 at 
UMN 
Course details

What are the course deliverables?
  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
More about this course
  • This course is designed to provide learners with a comprehensive understanding of how analytics can be leveraged to inform decision-making processes across diverse industries and sectors
  • This course provides an overview of key concepts and methodologies in analytics, including data collection, data preprocessing, exploratory data analysis, and basic statistical techniques

Analytics for Decision Making Specialization
 at 
UMN 
Curriculum

Introduction to Predictive Modeling

Optimization for Decision Making

Advanced Models for Decision Making

Simulation Models for Decision Making

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Analytics for Decision Making Specialization
 at 
UMN 
Faculty details

Soumya Sen
Prof. Soumya Sen is a faculty of Information & Decision Sciences at the Carlson School of Management of the University of Minnesota. He received the B.E. (Hons.) in Electronics and Instrumentation Engineering from BITS-Pilani, India, in 2005, and both the M.S. and Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania in 2008 and 2011, respectively, during which he collaborated with faculties from both engineering and the Wharton Business School.
Alok Gupta
Alok Gupta is the Associate Dean of Faculty and Research and Curtis L. Carlson School-wide Chair in Information Management at the Carlson School of Management, University of Minnesota. He was the chair of the IDSc Department at the Carlson School from 2006 to 2014; before coming to Carlson School, he was an Assistant Professor at Dept. of OPIM, University of Connecticut from 1996 to 2001. He received his Ph.D. in Management Science and Information from the University of Texas, Austin

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Analytics for Decision Making Specialization
 at 
UMN 
Contact Information

Address

301 19th Ave. South
Minneapolis, Minnesota 55455

Minneapolis ( Minnesota)

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