Learn what data scientists do in terms of the roles they play in an organization and what it takes to become one by analyzing the differences between data scientist jobs and more specialized jobs in data science.
- Data science is an all-encompassing term.…Similarly, data scientist is also…an all-encompassing job title.…Data is everywhere and its volume is also ever increasing.…Every organization can benefit from hiring…a person who can provide…data analysis and analytics…to reflect on its past performances…and to attempt to predict its future.…However, not every company can afford…to hire a person whose job is dedicated…to working on corporate data.…
Not to mention, hiring multiple experts…specializing in different aspects of data science.…The role of a data scientist is that of a generalist…instead of a specialist.…In an environment where a data scientist…works with other data science specialists,…such as a machine learning scientist,…the data scientist can act as a liaison between…the leadership of the company…and the data science specialists.…Therefore, one of the hallmarks of a competent…data scientist is an ability to communicate effectively.…
Compared to other highly specialized jobs…in data science,…the entrance barrier to a data science job…
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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