Join Jungwoo Ryoo for an in-depth discussion in this video Next steps and additional resources, part of Data Science & Analytics Career Paths & Certifications: First Steps.
- [Voiceover] Thanks For Watching this Course.…I hope you enjoyed it as much as I enjoyed creating it.…If you'd like to advance your knowledge…on data science further,…here is a progression of courses I recommend you take,…Excel, Python, R,…Hadoop Fundamentals, Data Visualization Fundamentals,…Data Mining, and Big Data Analytics.…I hope to see you again in my next course.…
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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