Easy as Py: A First Course in Python with a Taste of Data Analytics

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  • Source:
    Information Systems Education Journal, v17 n4 p4-15 Aug 2019. 12 pp.
  • Language:
    English
  • Publication Type:
    Journal Articles; Reports - Research
  • Additional Information
    • Author(s):
    • Availability:
      Full Text from ERIC Available online: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1219540
      Information Systems and Computing Academic Professionals. Box 488, Wrightsville Beach, NC 28480. e-mail: publisher@isedj.org; Web site: http://isedj.org
    • Peer Reviewed:
      Y
    • ISSN:
      1545-679X
    • Subject Terms:
    • Abstract:
      Python is a popular, general purpose programming language that is gaining wide adoption in beginning programming courses. This paper describes the development and implementation of an introductory Python course at a business university open to students in a variety of majors and minors. Given the growing number of career opportunities in analytics, the instructors felt that including a module on Data Analytics would add relevance and interest in the course. A survey given at the end of the semester shows students found this topic to be relevant to their future uses of Python. The paper also discusses challenges in teaching a first programming course to students with varying levels of programming experience.
    • Abstract:
      As Provided
    • Number of References:
      -1
    • Physical Description:
      12
    • Education Level:
      Higher Education; Postsecondary Education
    • Journal Code:
      SEP2019
    • Publication Date:
      2019
    • Accession Number:
      EJ1219540
  • Citations
    • ABNT:
      FRYDENBERG, M.; XU, J. Easy as Py: A First Course in Python with a Taste of Data Analytics. Information Systems Education Journal, [s. l.], v. 17, n. 4, p. 4–15, 2019. Disponível em: . Acesso em: 21 nov. 2019.
    • AMA:
      Frydenberg M, Xu J. Easy as Py: A First Course in Python with a Taste of Data Analytics. Information Systems Education Journal. 2019;17(4):4-15. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1219540&custid=s8280428. Accessed November 21, 2019.
    • APA:
      Frydenberg, M., & Xu, J. (2019). Easy as Py: A First Course in Python with a Taste of Data Analytics. Information Systems Education Journal, 17(4), 4–15. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1219540&custid=s8280428
    • Chicago/Turabian: Author-Date:
      Frydenberg, Mark, and Jennifer Xu. 2019. “Easy as Py: A First Course in Python with a Taste of Data Analytics.” Information Systems Education Journal 17 (4): 4–15. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1219540&custid=s8280428.
    • Harvard:
      Frydenberg, M. and Xu, J. (2019) ‘Easy as Py: A First Course in Python with a Taste of Data Analytics’, Information Systems Education Journal, 17(4), pp. 4–15. Available at: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1219540&custid=s8280428 (Accessed: 21 November 2019).
    • Harvard: Australian:
      Frydenberg, M & Xu, J 2019, ‘Easy as Py: A First Course in Python with a Taste of Data Analytics’, Information Systems Education Journal, vol. 17, no. 4, pp. 4–15, viewed 21 November 2019, .
    • MLA:
      Frydenberg, Mark, and Jennifer Xu. “Easy as Py: A First Course in Python with a Taste of Data Analytics.” Information Systems Education Journal, vol. 17, no. 4, Aug. 2019, pp. 4–15. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1219540&custid=s8280428.
    • Chicago/Turabian: Humanities:
      Frydenberg, Mark, and Jennifer Xu. “Easy as Py: A First Course in Python with a Taste of Data Analytics.” Information Systems Education Journal 17, no. 4 (August 1, 2019): 4–15. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1219540&custid=s8280428.
    • Vancouver/ICMJE:
      Frydenberg M, Xu J. Easy as Py: A First Course in Python with a Taste of Data Analytics. Information Systems Education Journal [Internet]. 2019 Aug 1 [cited 2019 Nov 21];17(4):4–15. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1219540&custid=s8280428