Closing the Analytics Talent Gap: An Executive's Guide to Working with Universities


Analytics and Data Science 101From Plato to Davenport and PatilUniversities Answer the CallA Wide Range of SolutionsEndnotesNavigating Universities – Where to StartUniversities 101What Do Universities Actually Do?University Classifications and the Role of ResearchTeaching and TrainingIncentives – Why Would a Faculty Member Take Your Call?The Taxonomy of FacultyA View from the GroundOur Summary Checklist for Working with UniversitiesEndnotesCollaborating with Undergraduate ProgramsWhat Do Undergraduates Really Know?The Rise of Undergraduate Data Science ProgramsViews from the GroundStructuring Successful InternshipsStructuring Successful CapstonesHigh Impact in Action – Two Case StudiesOur Summary Checklist for Working with Undergraduate StudentsEndnotesCollaboration with Master’s ProgramsDifferences Between Master’s and Undergraduate EducationThe Rise of Master’s Programs in Analytics and Data ScienceA View from the GroundThe UniversityThe CompanyThe StudentOur Summary Checklist for Working with Master’s StudentsEndnotesCollaboration with Doctoral ProgramsDifferences Between Doctoral and Master’s-Level EducationThe Rise of the PhD in Data ScienceEstablishing a Research LabA View from the GroundChristopher Yasko, Equifax Vice President, Innovation OfficeA Second View from the GroundOur Summary Checklist for Research Partnerships with University Doctoral ProgramsEndnotesContinuing Education, Training, and Professional DevelopmentContinuing Education 101Analytics and Data Science – RevisitedCertificates, Certifications, Badges, “Mini” Degrees, and MOOCsCertificatesDigital Badges/Micro-CredentialsMassive Online Open Courses (MOOCs)“Mini” DegreeCertificationA View from the GroundTheTim Blumentritt, PhD, Dean, College of Continuing and Professional EducationOur Summary Checklist for Working with Universities for Continuing EducationEndnotes
 
Next >