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Exploratory Analytics Project Ideation
Exploratory analytics is where data meets discovery, revealing hidden patterns and turning raw information into breakthrough insights. In this course we will first provide an overview of exploratory analytics methods such as clustering, association rule mining, anomaly detection, and study their business use cases. We will then consider a case study to learn how to use a design sprint framework to ideate about exploratory analytics project plan.
Learning objectives:
- Analyze how exploratory analytics concepts can be used to solve business problems
- Construct an issue tree for an exploratory analytics project
- Select a solution approach and define an exploratory analytics project
Duration
5 Months
Institution
University of Minnesota
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into University of Minnesota.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$293
Total Est. Investment
$293
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the Exploratory Analytics Project Ideation program at University of Minnesota are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.