A data scientist is a term that is used to describe the complex profession of data science. It is very complex since several competences from various key disciplines have to be combined. A commonly agreed profile of professional competences that are required for this job are hard to find. But we observe many industry players such as SAS or IBM offer Jobs in this area. There is the SAS Academy for Data Science that allows for world-class certification in big data, advanced analytics and data science. This includes using the traditional SAS Software together with Apache Hadoop and other key open source technologies relevant for data analysis and data analytics. There are several employment contexts and stakeholder domains that can benefit from this profession. Having an industry-recognized set of credentials such as the certification of SAS can help but there are also universities that put together curricula for this profession.
Data Scientist Curricula
In order to increase the number of competent and qualified persons with such a skill the EU launched the EDISON project. It reduces the gap between the supply side of educators and universities on one side and on the demand side of employers in industry. An interesting Approach is the EDISON Data Science Framework (EDSF) that is a group of tightly related documents related towards a model curriculum to be adapted broadly. The documents are named Data Science Competence Framework (CF-DS), Data Science Body of Knowledge (DS-Bok), Data Science Model Curriculum (MC-DS), and Data Science Professional Profiles (DSP profiles). Another interesting result of this project is the world-wide survey and list of university curricula and programs that can be found here.
More Information about a Data Scientist
We recommend the following video about this topic:
Follow us on Facebook: