How to lead in data science

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 m...

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Detalles Bibliográficos
Otros Autores: Chong, Jike, author (author), Chang, Yue Cathy, author (writer of foreword), Lorica, Ben, writer of foreword
Formato: Grabación no musical
Idioma:Inglés
Publicado: [Shelter Island, New York] : Manning Publications [2021]
Edición:[First edition]
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009859315806719
Descripción
Sumario: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.
Descripción Física:1 online resource (1 sound file (17 hr., 15 min.))