Liu, X., & Golen, E. (2023, June), Board 275: Enhance Data Science Education for Non-Computing Majors through Accessible Hands-on Experiences  Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--42739

\bibitem{asee_peer_42739}
  Liu, X., \& Golen, E. (2023, June), \emph{Board 275: Enhance Data Science Education for Non-Computing Majors through Accessible Hands-on Experiences}
  Paper presented at 2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland.
  10.18260/1-2--42739

Xumin Liu and Erik Golen.  "Board 275: Enhance Data Science Education for Non-Computing Majors through Accessible Hands-on Experiences".  2023 ASEE Annual Conference & Exposition, Baltimore , Maryland, 2023, June.  ASEE Conferences, 2023.  https://peer.asee.org/42739 Internet.  11 Dec, 2024

\bibitem{asee_peer_42739}
  Xumin Liu and Erik Golen.
  "Board 275: Enhance Data Science Education for Non-Computing Majors through Accessible Hands-on Experiences".
  \emph{2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland, 2023, June}.
  ASEE Conferences, 2023.
  https://peer.asee.org/42739 Internet.  11 Dec, 2024

@INPROCEEDINGS{asee_peer_42739
author = "Xumin Liu and Erik Golen"
title = "Board 275: Enhance Data Science Education for Non-Computing Majors through Accessible Hands-on Experiences"
booktitle = "2023 ASEE Annual Conference \& Exposition"
year = "2023"
month = "June"
address = "Baltimore , Maryland"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/42739}
number = {10.18260/1-2--42739}
}

TY  - CPAPER
AB  - It is important to provide non-computing majors with hands-on experience when teaching them data science topics. Meanwhile, it is challenging since those students typically have limited or no computing background. This paper describes the design of the hands-on assignments in an entry-level data science course for non-computing majors. It contains two components: one with the traditional format of hands-on experience, i.e., writing Python code with the support of in-class demos to complete various data science tasks; another one which is more accessible for non-computing majors, i.e., performing in-depth data manipulation and analysis tasks with the assistance of a web-based data science platform where little or no programming is required. This paper describes some sample assignments for the two components. Data sets in various domains are used to diversify the types and requirements of those tasks. This paper then describes the assessment result of the two types of hands-on assignments and compares how effectively they help students understand data science topics and improve students' interests in data science and computer science.
AU  - Xumin Liu
AU  - Erik Golen
CY  - Baltimore , Maryland
DA  - 2023/06/25
PB  - ASEE Conferences
TI  - Board 275: Enhance Data Science Education for Non-Computing Majors through Accessible Hands-on Experiences
UR  - https://peer.asee.org/42739
DO  - 10.18260/1-2--42739
ER  -