Swamidurai, R., & Jones, C. M., & Pettis, C., & Kannan, U. (2019, June), Big Data Analytics - With an Infusion of Statistics for the Modern Student  Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--32155

\bibitem{asee_peer_32155}
  Swamidurai, R., \& Jones, C. M., \& Pettis, C., \& Kannan, U. (2019, June), \emph{Big Data Analytics - With an Infusion of Statistics for the Modern Student}
  Paper presented at 2019 ASEE Annual Conference \& Exposition , Tampa, Florida.
  10.18260/1-2--32155

Rajendran Swamidurai, Cadavious M. Jones, Carl Pettis, and Uma Kannan.  "Big Data Analytics - With an Infusion of Statistics for the Modern Student".  2019 ASEE Annual Conference & Exposition , Tampa, Florida, 2019, June.  ASEE Conferences, 2019.  https://peer.asee.org/32155 Internet.  21 Apr, 2024

\bibitem{asee_peer_32155}
  Rajendran Swamidurai, Cadavious M. Jones, Carl Pettis, and Uma Kannan.
  "Big Data Analytics - With an Infusion of Statistics for the Modern Student".
  \emph{2019 ASEE Annual Conference \& Exposition , Tampa, Florida, 2019, June}.
  ASEE Conferences, 2019.
  https://peer.asee.org/32155 Internet.  21 Apr, 2024

@INPROCEEDINGS{asee_peer_32155
author = "Rajendran Swamidurai, Cadavious M. Jones, Carl Pettis, and Uma Kannan"
title = "Big Data Analytics - With an Infusion of Statistics for the Modern Student"
booktitle = "2019 ASEE Annual Conference \& Exposition "
year = "2019"
month = "June"
address = "Tampa, Florida"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/32155}
number = {10.18260/1-2--32155}
}

TY  - CPAPER
AB  - The field of Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. Individuals who have the skill set to effectively and efficiently analyze these large data sets are becoming increasingly valuable to industry and many areas of research.  In this paper, we present our three years of experience with structuring, teaching, and assessing a course that actively engages students in real-world data analysis. Our course guides students through methods for data analysis using probabilistic and statistical techniques that are part of the undergraduate curriculum.  The process is taught incrementally.  We start with techniques that enhance basic principles of statistics and how they relate to data and provide context, then add additional computer based activities using relevant software and coding methods. Thus, students work in an interactive environment in which they are instructed on new techniques and then mentored in the use of those techniques through a series of active learning exercises. 
AU  - Rajendran Swamidurai
AU  - Cadavious M. Jones
AU  - Carl Pettis
AU  - Uma Kannan
CY  - Tampa, Florida
DA  - 2019/06/15
PB  - ASEE Conferences
TI  - Big Data Analytics - With an Infusion of Statistics for the Modern Student
UR  - https://peer.asee.org/32155
DO  - 10.18260/1-2--32155
ER  -