Preparing a Big Data Analytics Professional: A Pedagogic Experience

Daniel A Asamoah; Ramesha Sharda; Amir Hassan Zadeh; Pankush Kalgotra

Preparing a Big Data Analytics Professional: A Pedagogic Experience

Daniel A Asamoah, Ramesha Sharda, Amir Hassan Zadeh, Pankush Kalgotra

School of Finance, Accountancy, Management Information Systems & Economics

Research output: Contribution to conference › Presentation

Abstract

Through an experiential perspective, we design a framework for how a Big Data Analytics course can be delivered to both undergraduate and graduate students. The framework consists of three main phases: sensitization, principles and practice. We further provide a set of seven practical guidelines for teaching Big Data Analytics.

Original language	American English
State	Published - 2016
Event	2016 Annual Meeting of the Decision Sciences Institute: Effective Decision Making in Uncertain Business Environments: Strategies, Practices, and Techniques - Austin, United States Duration: Nov 19 2016 → Nov 22 2016 https://perma.cc/A2SR-2W7E

Conference

Conference	2016 Annual Meeting of the Decision Sciences Institute
Country/Territory	United States
City	Austin
Period	11/19/16 → 11/22/16
Internet address	https://perma.cc/A2SR-2W7E

Keywords

Teaching innovation
Data Analytics

Disciplines

Operations and Supply Chain Management
Management Information Systems
Business Administration, Management, and Operations

Cite this

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title = "Preparing a Big Data Analytics Professional: A Pedagogic Experience",

abstract = "Through an experiential perspective, we design a framework for how a Big Data Analytics course can be delivered to both undergraduate and graduate students. The framework consists of three main phases: sensitization, principles and practice. We further provide a set of seven practical guidelines for teaching Big Data Analytics.",

keywords = "Teaching innovation, Data Analytics",

author = "Asamoah, {Daniel A} and Ramesha Sharda and Zadeh, {Amir Hassan} and Pankush Kalgotra",

year = "2016",

language = "American English",

note = "2016 Annual Meeting of the Decision Sciences Institute : Effective Decision Making in Uncertain Business Environments: Strategies, Practices, and Techniques ; Conference date: 19-11-2016 Through 22-11-2016",

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T1 - Preparing a Big Data Analytics Professional

T2 - 2016 Annual Meeting of the Decision Sciences Institute

AU - Asamoah, Daniel A

AU - Sharda, Ramesha

AU - Zadeh, Amir Hassan

AU - Kalgotra, Pankush

PY - 2016

Y1 - 2016

N2 - Through an experiential perspective, we design a framework for how a Big Data Analytics course can be delivered to both undergraduate and graduate students. The framework consists of three main phases: sensitization, principles and practice. We further provide a set of seven practical guidelines for teaching Big Data Analytics.

AB - Through an experiential perspective, we design a framework for how a Big Data Analytics course can be delivered to both undergraduate and graduate students. The framework consists of three main phases: sensitization, principles and practice. We further provide a set of seven practical guidelines for teaching Big Data Analytics.

KW - Teaching innovation

KW - Data Analytics

M3 - Presentation

Y2 - 19 November 2016 through 22 November 2016

ER -