Learn how to identify the necessary skills for each specialized role.
- You may be wondering about…what skills you need to be successful…in data science and analytics careers.…Although there are boundless possibilities…that could positively affect your request…for landing a data science and analytics job…it helps to start with some obvious ones…such as data mining, machine learning,…natural language processing,…statistics, and visualization.…Data mining is a broad term referring to the practice…of examining a large amount of data…for the purpose of finding meaningful patterns…and establishing significant relationships…to help solve a problem.…
Machine learning is a subfield of artificial intelligence.…It focuses on optimizing ways to use algorithms…to conduct data analysis and analytics tasks…with as little human supervision as possible.…Natural language processing allows a computer…to make sense of its interactions…with human beings through linguistic means,…such as spoken and written languages.…Statistics is a foundation for data analysis…and analytics in general.…
Without statistics it is impossible to do…
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
1. Define Data Science
6. Future of Data Science
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