WILEY Minding the Machines: Building and Leading Data Science and Analytics Teams

WILEY Minding the Machines: Building and Leading Data Science and Analytics Teams By Adamson, Jeremy Published by WILEY Publication Date: 2021-09-16 Subject: Business & Economics Development Business Development, Business & Economics Leadership, Business & Economics Organizational Development, Business & Economics Development - Business Development, Business & Economics Leadership, Computers Data Science Data Modeling & Design, Computers Databases Data Mining, Computers Machine Theory, Computers Data Modeling & Design, Computers Data Science - Data Analytics, Computers Data Science - Data Modeling & Design, Data Analysis: General, Databases, Mathematics, Data Science And Analysis: General, Hc Mathematik Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik, Computers Data Science Data Modeling & Design, Computers, Data Science, Data Modeling & Design, Business & Economics Development Business Development, Business & Economics, Development, Business Development, Business & Economics Leadership, Leadership, Mathematics, Hc Mathematik Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik, Hc, Mathematik, Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik, Data Analysis, Data Analytics Project Management; Data Project Management; Data Analytics Teams; Data Science Teams; Building Analytics Teams; Building Data Science Teams; Data Science Project Management; Data Science Leadership; Analytics Leadership Subject Keywords: COMPUTER, Computer/General, Data analytics project management; data project management; data analytics teams; data science teams; building analytics teams; building data science teams; data science project management; data science leadership; analytics leadership, Data analytics project management; data project management; data analytics teams; data science teams; building data science teams; data science project management; data science leadership; analytics leadership; building analytics teams, General Adult, Non-Fiction, United States Genre: Computers, Data Science, Data Modeling & Design, Business & Economics, Development, Business Development, Business & Economics, Leadership, Mathematics, Hc, Mathematik, Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik Target Audience: Professional and scholarly