Description

Book Synopsis

The need for analytics skills is a source of the burgeoning growth in the number of analytics and decision science programs in higher education developed to feed the need for capable employees in this area. The very size and continuing growth of this need means that there is still space for new program development. Schools wishing to pursue business analytics programs intentionally assess the maturity level of their programs and take steps to close the gap.

Teaching Data Analytics: Pedagogy and Program Design is a reference for faculty and administrators seeking direction about adding or enhancing analytics offerings at their institutions. It provides guidance by examining best practices from the perspectives of faculty and practitioners. By emphasizing the connection of data analytics to organizational success, it reviews the position of analytics and decision science programs in higher education, and to review the critical connection between this area of study and ca

Table of Contents

Preface: Teaching Data Analytics—A Primer for Higher Education

Acknowledgments

Editors

Contributors

Section I Industry Perspective

Chapter 1 It’s Not All About the Math

DOUG COGSWELL, ERIC CHO, AND MATEO MOLINA CORDERO

Chapter 2 A Two-Day Course Outline for Teaching Analytics to Fundraising Professionals: Lessons for Academia

MARIANNE M. PELLETIER

Chapter 3 Developing Professional Skills in a Data Analytics Classroom

KATHRYN S. BERKOW

Section II Curricular and Cocurricular

Assignment Design

Chapter 4 Formative and Summative Assessments in Teaching Association Rules

MATT NORTH

Chapter 5 The Necessity of Teaching Computer Simulation within Data Analytics Programs

VIRGINIA M. MIORI

Chapter 6 Using Games to Create a Common Experience for Students

STEPHEN PENN

Chapter 7 Student Competitions: Extending Student Experience Outside of the Classroom

YELENA BYTENSKAYA, KATHERINE LEAMING GOLDBERG, AND ELENA GORTCHEVA

Section III Program Design Tactics

Chapter 8 Competencies for the Design, Implementation, and Adoption of the Analytics Process

EDUARDO RODRIGUEZ, JOHN S. EDWARDS, AND GERMÁN A. RAMÍREZ

Chapter 9 Business Analytics: A Course Design

KATHERINE LEAMING GOLDBERG

Chapter 10 Building a Ranked Data Analytics Program

VIRGINIA M. MIORI, NICOLLE T. CLEMENTS, AND KATHLEEN CAMPBELL-GARWOOD

Index

Teaching Data Analytics

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    A Hardback by Susan Vowels, Katherine Leaming Goldberg

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      View other formats and editions of Teaching Data Analytics by Susan Vowels

      Publisher: Taylor & Francis Ltd
      Publication Date: 28/06/2019
      ISBN13: 9781138744141, 978-1138744141
      ISBN10: 113874414X

      Description

      Book Synopsis

      The need for analytics skills is a source of the burgeoning growth in the number of analytics and decision science programs in higher education developed to feed the need for capable employees in this area. The very size and continuing growth of this need means that there is still space for new program development. Schools wishing to pursue business analytics programs intentionally assess the maturity level of their programs and take steps to close the gap.

      Teaching Data Analytics: Pedagogy and Program Design is a reference for faculty and administrators seeking direction about adding or enhancing analytics offerings at their institutions. It provides guidance by examining best practices from the perspectives of faculty and practitioners. By emphasizing the connection of data analytics to organizational success, it reviews the position of analytics and decision science programs in higher education, and to review the critical connection between this area of study and ca

      Table of Contents

      Preface: Teaching Data Analytics—A Primer for Higher Education

      Acknowledgments

      Editors

      Contributors

      Section I Industry Perspective

      Chapter 1 It’s Not All About the Math

      DOUG COGSWELL, ERIC CHO, AND MATEO MOLINA CORDERO

      Chapter 2 A Two-Day Course Outline for Teaching Analytics to Fundraising Professionals: Lessons for Academia

      MARIANNE M. PELLETIER

      Chapter 3 Developing Professional Skills in a Data Analytics Classroom

      KATHRYN S. BERKOW

      Section II Curricular and Cocurricular

      Assignment Design

      Chapter 4 Formative and Summative Assessments in Teaching Association Rules

      MATT NORTH

      Chapter 5 The Necessity of Teaching Computer Simulation within Data Analytics Programs

      VIRGINIA M. MIORI

      Chapter 6 Using Games to Create a Common Experience for Students

      STEPHEN PENN

      Chapter 7 Student Competitions: Extending Student Experience Outside of the Classroom

      YELENA BYTENSKAYA, KATHERINE LEAMING GOLDBERG, AND ELENA GORTCHEVA

      Section III Program Design Tactics

      Chapter 8 Competencies for the Design, Implementation, and Adoption of the Analytics Process

      EDUARDO RODRIGUEZ, JOHN S. EDWARDS, AND GERMÁN A. RAMÍREZ

      Chapter 9 Business Analytics: A Course Design

      KATHERINE LEAMING GOLDBERG

      Chapter 10 Building a Ranked Data Analytics Program

      VIRGINIA M. MIORI, NICOLLE T. CLEMENTS, AND KATHLEEN CAMPBELL-GARWOOD

      Index

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