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Designing and Delivering a Curriculum for Data Science Education Across Europe

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Teaching and Learning in a Digital World (ICL 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 716))

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Abstract

Data is currently being produced at an incredible rate globally, fuelled by the increasing ubiquity of the Web, and stoked by social media, sensors, and mobile devices. However, as the amount of available data continues to increase, so does the demand for professionals who have the necessary skills to manage and manipulate this data. This paper presents the European Data Science Academy (EDSA), an initiative for bridging the data science skills gap across Europe and training a new generation of world-leading data scientists. The EDSA project has established a rigorous process and a set of best practices for the production and delivery of curricula for data science. Additionally, the project’s efforts are dedicated to linking the demand for data science skills with the supply of learning resources that offer these skills. In order to achieve this, EDSA is offering interactive tools for finding learning resources and building personalised learning pathways towards acquiring the skills that are currently in demand.

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Notes

  1. 1.

    http://okfn.org/opendata/.

  2. 2.

    http://edsa-project.eu.

  3. 3.

    http://www.euclid-project.eu.

  4. 4.

    https://www.futurelearn.com.

  5. 5.

    https://www.coursera.org.

  6. 6.

    http://courses.edsa-project.eu.

  7. 7.

    http://courses.edsa-project.eu/mod/page/view.php?id=299.

  8. 8.

    http://courses.edsa-project.eu/course/view.php?id=70.

  9. 9.

    http://edison-project.eu/edison/edison-data-science-framework-edsf.

References

  1. Atkins, D.E., Brown, J.S., Hammond, A.L.: A Review of the Open Educational Resources (OER) Movement: Achievements, Challenges, and New Opportunities. The William and Flora Hewlett Foundation, Menlo Park (2007)

    Google Scholar 

  2. Benjamins, R., Jariego, F.: Open Data: A ‘No-Brainer’ for all. Telefónica Innovation Hub (2013). http://blog.digital.telefonica.com/2013/12/05/open-data-intelligence/

  3. Davenport, T.H., Patil, D.: Data scientist: the sexiest job of the 21st century. Harvard Business Review (2012)

    Google Scholar 

  4. Domingue, J., d’Aquin, M., Simperl, E., Mikroyannidis, A.: The web of data: bridging the skills gap. IEEE Intell. Syst. 29(1), 70–74 (2014)

    Article  Google Scholar 

  5. Glick, B.: Government calls for more data scientists in the UK. Computer Weekly (2013). http://www.computerweekly.com/news/2240208220/Government-calls-for-more-data-scientists-in-the-UK

  6. Hirsh, H.: Data mining research: current status and future opportunities. Stat. Anal. Data Min. 1(2), 104–107 (2008)

    Article  MathSciNet  Google Scholar 

  7. James, M., Michael, C., Brad, B., Jacques, B., Richard, D., Charles, R., Angela, H.: Big data: The Next Frontier for Innovation, Competition, and Productivity. The McKinsey Global Institute, New York (2011)

    Google Scholar 

  8. Magoulas, R., King, J.: 2013 Data Science Salary Survey: Tools, Trends, What Pays (and What Doesn’t) for Data Professionals. O’Reilly (2014)

    Google Scholar 

  9. McKenna, B.: Demand for big data IT workers to double by 2017, says eSkills. Computer Weekly (2012). http://www.computerweekly.com/news/2240174273/Demand-for-big-data-IT-workers-to-double-by-2017-says-eSkills

  10. Mikroyannidis, A., Domingue, J., Maleshkova, M., Norton, B., Simperl, E.: Developing a curriculum of open educational resources for linked data. In: Proceedings of the 10th annual OpenCourseWare Consortium Global Conference (OCWC), Ljubljana, Slovenia (2014)

    Google Scholar 

  11. Mikroyannidis A., Domingue J., Maleshkova M., Norton B., Simperl E.: Teaching linked open data using open educational resources. In: Mouromtsev, D., d’Aquin, M. (eds.) Open Data for Education: Linked, Shared, and Reusable Data for Teaching and Learning, pp. 135–152. Springer International Publishing, Cham (2016)

    Google Scholar 

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Acknowledgement

EDSA is a research project funded by the Horizon 2020 Framework Programme of the European Union, Grant Agreement no. 643937.

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Correspondence to Alexander Mikroyannidis .

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Mikroyannidis, A., Domingue, J., Phethean, C., Beeston, G., Simperl, E. (2018). Designing and Delivering a Curriculum for Data Science Education Across Europe. In: Auer, M., Guralnick, D., Simonics, I. (eds) Teaching and Learning in a Digital World. ICL 2017. Advances in Intelligent Systems and Computing, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-319-73204-6_59

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  • DOI: https://doi.org/10.1007/978-3-319-73204-6_59

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  • Publisher Name: Springer, Cham

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