Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and followed exactly. The conclusions were clear and actionable decisions were obvious. Has that every happened to you? Of course not. Data analysis in real life is messy. How does one manage a team facing real data analyses? In this one-week course, we contrast the ideal with what happens in real life. By contrasting the ideal, you will learn key concepts that will help you manage real life analyses.
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Habilidades que obtendrás
Universidad Johns Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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- 4 stars27,75 %
- 3 stars8,27 %
- 2 stars2,02 %
- 1 star1,12 %
Principales reseñas sobre DATA SCIENCE IN REAL LIFE
Esta serie de cursos, es recomendable para iniciar en la carrera de Ciencia de Datos, conceptos claros, expuestos por catedráticos de primer nivel
Clear explanation of various concepts with good examples. Of course, reference to some cool cartoons from time to time made the concepts more memorable!
Gives directions on how to deal with a situation where a clear conclusion may not be forthcoming from the analysis--- a situation that more often than not is likely to hold true in real world
Exceptional course in conveying a real life situation, vastly different from an ideal one. The course puts you up to speed in handling such situations with aplomb.
Acerca de Programa especializado: Executive Data Science
Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.
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