Data Science & Analytics Career Paths & Certifications: First Steps
Data Science & Analytics Career Paths & Certifications: First Steps
MP4 | Video: 720p | Duration: 1:12:36 | English | Subtitles: VTT | 194.6 MB
MP4 | Video: 720p | Duration: 1:12:36 | English | Subtitles: VTT | 194.6 MB
The career opportunities in data science, big data, and data analytics are growing dramatically. If you're interested in changing career paths, determining the right course of study, or deciding if certification is worth your time, this course is for you.
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.
Topics include:
- 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