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Data Science: Mindset, Methodologies, and Misconceptions by Zacharias Voulgaris PhD

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Chapter 14 Future Trends and How to Remain Relevant

Data science is a dynamic field; it is constantly changing. Therefore, keeping up with new developments is not just advisable, it is also expected (and necessary in staying relevant to employers and clients for that matter). Otherwise, your know-how is bound to become obsolete sooner or later, making you a less marketable professional. In order to avoid this, it is important to learn about the newest trends and have strategies in place about remaining relevant in this ever-changing field.

In this chapter, we will examine general trends in data science that are bound to affect it in the coming decade. This includes the role of AI, the future of big data, new programming paradigms, and the rise ...

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