Abstract
We define Data Science as the combination of statistical and computational data analytic approaches. We argue that only this combination allows to tackle the many problems occurring in today’s Big Data era. We outline a possible curriculum, which focuses on both statistics and computer science aspects of data analytics. The proposed curriculum is implemented in the Data Science master program run at the University Munich ( www.datascience-munich.de ). We also argue that data ethical aspects as well as practical and communication skills are essential in a modern Data Science study program.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Data Science and Analytics
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
