Acerca de este Curso
4.4
1,336 calificaciones
157 revisiones
Programa Especializado
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Horas para completar

Aprox. 6 horas para completar

Sugerido: 1 week of study, 4-6 hours...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English)

Qué aprenderás

  • Check

    Describe common pitfalls in communicating data analyses

  • Check

    Identify strengths and weaknesses in experimental designs

  • Check

    Learn novel solutions for managing data pulls

  • Check

    Understand a typical day in the life of a data analysis manager

Habilidades que obtendrás

StatisticsData ScienceData AnalysisData Management
Programa Especializado
100 % en línea

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.
Horas para completar

Aprox. 6 horas para completar

Sugerido: 1 week of study, 4-6 hours...
Idiomas disponibles

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
Horas para completar
5 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....
Reading
22 videos (Total 160 minutos), 10 readings, 6 quizzes
Video22 videos
Data science in the ideal versus real life Part 14m
Data science in the ideal versus real life Part 23m
Examples7m
Machine Learning vs. Traditional Statistics Part 114m
Machine Learning vs. Traditional Statistics Part 23m
Managing the Data Pull11m
Experimental design and observational analysis10m
Causality part 18m
Causality Part 29m
What Can Go Wrong?: Confounding5m
A/B Testing9m
Sampling bias and random sampling5m
Blocking and adjustment11m
Multiplicity6m
Effect size, significance, & modeling7m
Comparison with benchmark effects4m
Negative controls5m
Non-significance5m
Estimation Target is Relevant10m
Report writing8m
Version control4m
Reading10 lecturas
Pre-Course Survey10m
Course structure10m
Grading10m
The data pull is clean10m
The experiment is carefully designed10m
The experiment is carefully designed, things to do10m
Results of analyses are clear10m
The decision is obvious10m
The analysis product is awesome10m
Post-Course Survey10m
Quiz6 ejercicios de práctica
The Data Pull is Clean10m
The experiment is carefully designed principles10m
The experiment is carefully designed, things to do10m
Results of analyses are clear8m
The Decision is Obvious10m
The analysis product is awesome10m
4.4
157 revisionesChevron Right
Dirección de la carrera

50%

comenzó una nueva carrera después de completar estos cursos
Beneficio de la carrera

83%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

Principales revisiones

Aspectos destacados
Statistics review
(44)
por SMAug 20th 2017

A very good and concise course that helps to understand the basics of the Data Science and its applications. The examples are very relevant and helps to understand the topic easily.

por ESNov 12th 2017

Highly educational course on the realities of data analysis. Many good tips for your own analyses as well as for managing others responsible for coherent and accurate analyses.

Instructores

Avatar

Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health
Avatar

Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

Acerca de Johns Hopkins University

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....

Acerca del programa especializado Executive Data Science

Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects. In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects....
Executive Data Science

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

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