From the course: Data Science and Analytics Career Paths and Certifications: First Steps
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Professional development
From the course: Data Science and Analytics Career Paths and Certifications: First Steps
Professional development
- [Instructor] Data scientists need to stay abreast of new developments in both their specialty and discipline at large, as well as the overall IT world. The breadth of the knowledge requirements for them is quite wide because data science builds on many of its underlying IT technologies, such as data infrastructure and management. For example, one of the emerging data science technologies is in-memory analytics, which means running entire data analytics operations in the main memory of a computer instead of reading some of the data back and forth from a secondary memory device such as an external storage device. As a data scientist, you need to know the implications of this relatively new technology in your job on a daily basis and make a decision on whether to adopt it now or later. As you may already be well aware, there are a number of ways to keep current with the latest developments in your field of expertise. One…
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