The real work of data science : turning data into information, better decisions, and stronger organizations / / Ron S. Kenett, Thomas C. Redman |
Autore | Kenett Ron |
Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc., , 2019 |
Descrizione fisica | 1 online resource (115 pages) |
Disciplina | 005.7406 |
Soggetto topico |
Database management - Quality control
Electronic data processing Data mining |
ISBN |
1-119-57076-X
1-119-57079-4 1-119-57071-9 |
Classificazione | SCI028000MAT029000BUS061000 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | A higher calling -- The difference between a good data scientist and a great one -- Learn the business -- Understand the real problem -- Get out there -- Sorry, but you can't trust the data -- Make it easy for people to understand your insights -- "When the data leaves off and your intuition takes over -- Take accountability for results -- What does it mean to be 'data-driven' -- Rooting out bias in decision-making -- Teach, teach, teach -- Evaluating data science outputs more formally -- Educating senior leaders -- Putting data science, and data scientists, in the right spots -- Moving up the analytics maturity ladder -- The industrial revolutions and data science -- Epilogue -- Appendix A. Skills of the data scientist -- Appendix B. Data defined -- Appendix C. Questions to help evaluate the outputs of data science -- Appendix D. Ethical considerations and today's data scientist -- Appendix E. Recent technical advances in data science. |
Record Nr. | UNINA-9910539733903321 |
Kenett Ron | ||
Hoboken, NJ : , : John Wiley & Sons, Inc., , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The real work of data science : turning data into information, better decisions, and stronger organizations / / Ron S. Kenett, Thomas C. Redman |
Autore | Kenett Ron |
Pubbl/distr/stampa | Hoboken, NJ : , : John Wiley & Sons, Inc., , 2019 |
Descrizione fisica | 1 online resource (115 pages) |
Disciplina | 005.7406 |
Soggetto topico |
Database management - Quality control
Electronic data processing Data mining |
ISBN |
1-119-57076-X
1-119-57079-4 1-119-57071-9 |
Classificazione | SCI028000MAT029000BUS061000 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | A higher calling -- The difference between a good data scientist and a great one -- Learn the business -- Understand the real problem -- Get out there -- Sorry, but you can't trust the data -- Make it easy for people to understand your insights -- "When the data leaves off and your intuition takes over -- Take accountability for results -- What does it mean to be 'data-driven' -- Rooting out bias in decision-making -- Teach, teach, teach -- Evaluating data science outputs more formally -- Educating senior leaders -- Putting data science, and data scientists, in the right spots -- Moving up the analytics maturity ladder -- The industrial revolutions and data science -- Epilogue -- Appendix A. Skills of the data scientist -- Appendix B. Data defined -- Appendix C. Questions to help evaluate the outputs of data science -- Appendix D. Ethical considerations and today's data scientist -- Appendix E. Recent technical advances in data science. |
Record Nr. | UNINA-9910822559503321 |
Kenett Ron | ||
Hoboken, NJ : , : John Wiley & Sons, Inc., , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|