How to lead in data science

• Verfasst von: Chong, Jike [VerfasserIn]
• Verfasst von: Chang, Yue Cathy [VerfasserIn]
• Titel: How to lead in data science
• Mitwirkende: Lorica, Ben [MitwirkendeR]
• Verf.angabe: Jike Chong, Yue Cathy Chang ; foreword by Ben Lorica
• Ausgabe: [First edition].
• Verlagsort: [Shelter Island, New York]
• Verlag: Manning Publications
• E-Jahr: 2021
• Jahr: [2021]
• Umfang: 1 online resource (1 sound file (17 hr., 15 min.))
• Fussnoten: Online resource; title from title details screen (O’Reilly, viewed October 29, 2024)
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Technologie de l'information ; Gestion
• Sach-SW: Bases de données ; Gestion
• Sach-SW: Leadership
• Sach-SW: Audiobooks
• Sach-SW: Livres audio
• K10plus-PPN: 1910534099
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4629578056
• 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.