| Autor: |
Demchenko, Yuri, Maijer, Mathijs, Comminiello, Luca |
| Rok vydání: |
2023 |
| Předmět: |
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| DOI: |
10.5281/zenodo.7538401 |
| Popis: |
Data Science is maturing as a scientific and technology domain and creates a basis for new emerging technologies and data driven application domains. Educated and/or trained Data Scientist is becoming a critical component of the whole data driven science and technology ecosystem. It is important to revisit the Data Scientist Professional definition propose/identify effective approaches to Data Science competences and skills assessment that would allow developing customisable education and training curricula that would support organisational capacity building (effective HR management) and individual career development. The paper is discussing how the EDISON Data Science Framework can be used to solve these problems. New approaches to Data Science competences assessment is proposed that introduces the concept of acquired competence which is calculated based on the practitioner career path. Important aspect in targeted education and training for professionals is correct and effective education path building based on initial competences and knowledge assessment. The paper proposes a new approach in customised curriculum building by applying Bloom’s Taxonomy to training courses sequence and timing/scheduling. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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