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Teaching data science : core learning outcomes and topics for an introductory course.
- Format:
- Video
- Series:
- Sage research methods.
- Language:
- English
- Subjects (All):
- Big data.
- Machine learning.
- Data mining.
- Quantitative research.
- Physical Description:
- 1 online resource (1 video file (00:48:58)) : sound, colour
- Place of Publication:
- London : SAGE Publications Ltd, 2018.
- Language Note:
- Closed-captions in English.
- Summary:
- Jeffrey S. Saltz, PhD, Associate Professor, and Jeffrey M. Stanton, PhD, Professor, in the School of Information Studies at Syracuse University, discuss their experience and expertise teaching data science, including what data science is and fields related to it; "flavors" of data science courses; roles of data science; learning outcomes, technical tools and essentials; a starter data science toolkit; power tools: Python, R, and cloud services; structure of a sample introductory data science course; reading, transforming, and munging data; statistics, visualization, and data-driven maps; and ethics in data science. A Q&A session follows.
- Participant:
- Speaker, Susannah Goldes.
- Academic, Jeffrey S. Saltz PhD.
- Academic, Jeffrey M. Stanton PhD.
- Notes:
- Description based on XML content.
- ISBN:
- 9781526498595
- OCLC:
- 1103475888
- Access Restriction:
- Restricted for use by site license.
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