Analytics for Decision Making
About this Specialization
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.Created by: University of Minnesota
Related Online Courses
By the end of this project, you will learn how to use Sketch Up for web to model simple 3D objects 3D modeling is largely used in the design fields, to represent interiors, products, games. In 3D... more
In this course, you will learn about the foundations of machine learning (ML) and artificial intelligence (AI). You will explore the connections between AI, ML, deep learning, and the emerging... more
With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets.... more
The ability to engage stakeholders is an increasingly important competency that requires tact, strategy, collaboration, and high quality communication skills. Solving complex problems effectively,... more
In today\'s mobile-first world, over 90% of people access the internet via mobile devices (Statista) creating a high demand for professionals with strong mobile app development skills. In this... more