How to lead in data science

• Titel: How to lead in data science
• Mitwirkende: Chong, Jike [VerfasserIn]
• Mitwirkende: Chang, Yue Cathy [VerfasserIn]
• Institutionen: Manning Publications, [Verlag]
• Verf.angabe: Jike Chong, Yue Cathy Chang
• Ausgabe: [First edition].
• Verlagsort: [Shelter Island, New York]
• Verlag: Manning Publications
• E-Jahr: 2021
• Jahr: [2021]
• Umfang: 1 online resource (1 video file (17 hr., 24 min.))
• Illustrationen: sound, color.
• Fussnoten: "In video editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.". - Online resource; title from title details screen (O’Reilly, viewed November 18, 2024)
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Instructional films
• Sach-SW: Nonfiction films
• Sach-SW: Internet videos
• K10plus-PPN: 1910532096
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4629576568
• Lokale URL Inst.: Zum Volltext

Abstract

How to Lead in Data Science shares unique leadership techniques from high-performance data teams. It’s filled with best practices for balancing project trade-offs and producing exceptional results, even when beginning with vague requirements or unclear expectations. You’ll find a clearly presented modern leadership framework based on current case studies, with insights reaching all the way to Aristotle and Confucius. As you read, you’ll build practical skills to grow and improve your team, your company’s data culture, and yourself.