Data Science Foundations Tools and Techniques
The Foundational Hands-On Skills You Need to Dive into Data Science Freeman and Ross have created the definitive resource for new and aspiring data scientists to learn foundational programming skills. -From the foreword by Jared Lander, series editor Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get started, even if you have no programming or data science experience. Leading instructors Michael Freeman and Joel Ross guide you through installing a…
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Produktdetails
Weitere Autoren: Ross, Joel
- ISBN: 978-0-13-515908-8
- EAN: 9780135159088
- Produktnummer: 29430107
- Verlag: Pearson ITP
- Sprache: Englisch
- Erscheinungsjahr: 2018
- Seitenangabe: 384 S.
- Plattform: EPUB
- Masse: 59'766 KB
- Auflage: 1. Auflage
Über den Autor
Michael Freeman is a senior lecturer at the University of Washington Information School, where he teaches courses in data science, interactive data visualization, and web development. Prior to his teaching career, he worked as a data visualization specialist and research fellow at the Institute for Health Metrics and Evaluation. There, he performed quantitative global health research and built a variety of interactive visualization systems to help researchers and the public explore global health trends. Michael is interested in applications of data visualization to social justice, and holds a Master's in Public Health from the University of Washington. Joel Ross is a senior lecturer at the University of Washington Information School, where he teaches courses in web development, mobile application development, software architecture, and introductory programming. While his primary focus is on teaching, his research interests include games and gamification, pervasive systems, computer science education, and social computing. He has also done research on crowdsourcing systems, human computation, and encouraging environmental sustainability. Joel earned his M.S. and Ph.D. in information and computer sciences from the University of California, Irvine.
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