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.
Este curso forma parte de Programa Especializado - Executive Data Science
ofrecido por
Programa Especializado - Executive Data ScienceUniversidad Johns HopkinsAcerca de este Curso
21,412 vistas recientes
Resultados profesionales del estudiante
33%
comenzó una nueva carrera después de completar estos cursos
14%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 4 de 5 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 7 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
Qué aprenderás
Identify strengths and weaknesses in experimental designs
Learn novel solutions for managing data pulls
Describe common pitfalls in communicating data analyses
Understand a typical day in the life of a data analysis manager
Habilidades que obtendrás
StatisticsData ScienceData AnalysisData Management
Resultados profesionales del estudiante
33%
comenzó una nueva carrera después de completar estos cursos
14%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 4 de 5 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 7 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
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.
Programa - Qué aprenderás en este curso
7 horas para completar
Introduction, the perfect data science experience
This course is one module, intended to be taken in one week. Please do the course roughly in the order presented. Each lecture has reading and videos. Except for the introductory lecture, every lecture has a 5 question quiz; get 4 out of 5 or better on the quiz.
7 horas para completar
22 videos (Total 159 minutos), 10 lecturas, 6 cuestionarios
Reseñas
Principales reseñas sobre DATA SCIENCE IN REAL LIFE
por AK18 de abr. de 2020
It was kind of hard to understand as I did not have any professional experience in data science. But, I am sure I can work in a professional environment now with the teachings of the professor.
por SL2 de sep. de 2020
One more thing to add. The link to Study.com works. But Study.com wouldn't let me watch the whole video anyway; it requires registering and subscribing (after trial period is over). Not useful.
por DM28 de jul. de 2020
This course is very interesting and worthwhile. we are living with data in our real life. good lectures. thanks to all team. Dr DVNS MURTHY, DIRECTOR, BADRUKA COLLEGE, KACHIGUDA, HYDERABAD.
por MJ18 de ene. de 2021
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
Acerca de Programa especializado: Executive Data Science
Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Programa especializado?
Is financial aid available?
¿Recibiré crédito universitario por completar el Curso?
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.
