Learn how to stay relevant as a data scientist through professional development by analyzing various opportunities available to you, such as certifications, professional development units (PDUs), and networking activities through conferences and workshops
- 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 of the ways to force yourself to do this…is to get certified.…
After getting your certification, such as…
Jungwoo Ryoo is a professor of information science and technology at Penn State. Here he reviews the history of data science and its subfields, explores the marketplaces for these fields, and reveals the five main skills areas: data mining, machine learning, natural language processing (NLP), statistics, and visualization. This leads to a discussion of the five biggest career opportunities, the six leading industry-recognized certifications available, and the most exciting emerging technologies. Along the way, Jungwoo discusses the importance of ethics and professional development, and provides pointers to online resources for learning more.
- A history of data science
- Why data analytics is important
- How data science is used in fraud detection, disease control, network security, and other fields
- Data science skills
- Data science roles
- Data science certifications
- The future of data science
Skill Level Beginner
Insights on Data Science: Lillian Piersonwith Lillian Pierson, P.E.23m 51s Intermediate
Learning Data Science: Understanding the Basicswith Doug Rose1h 16m Appropriate for all
1. Define Data Science
6. Future of Data Science
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