Publisher
Springer International Publishing
Reference5 articles.
1. Boyd, D., & Crawford, K. (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Information, Communication, & Society, 15(5), 662–679.
2. De Veaux, R. D., Agarwal, M., Averett, M., Baumer, B. S., Bray, A., Bressoud, T. C., et al. (2017). Curriculum guidelines for undergraduate programs in data science. Annual Review of Statistics and its Applications, 4, 2.1–2.16. https://doi.org/10.1146/annurev-statistics-060116-053930. Downloaded from http://www.amstat.org/asa/files/pdfs/EDU-DataScienceGuidelines.pdf. 2 Jan 2017.
3. Ericsson, K. A., Prietula, M. J., & Cokely, E. T. (2007). The making of an expert. Harvard Business Review 85(7–8):114–121, 193. Downloaded from https://hbr.org/2007/07/the-making-of-an-expert. 5 June 2010.
4. Gibbs, T., Brigden, D., & Hellenberg, D. (2004). The education versus training and the skills versus competency debate. South African Family Practice, 46(10), 5–6. https://doi.org/10.1080/20786204.2004.10873146.
5. Greene, A. C., Giffin, K. A., Greene, C. S., & Moore, J. H. (2016). Adapting bioinformatics curricula for big data. Briefings in Bioinformatics, 17(1), 43–50. https://doi.org/10.1093/bib/bbv018.