Este curso forma parte de Programa especializado: Executive Data Science

4.6
estrellas
3,152 calificaciones

Jeff Leek, PhD +2 instructores más

60.788 ya inscrito

ofrecido por

Programa especializado: Executive Data ScienceUniversidad Johns Hopkins

Acerca de este Curso

23.621 vistas recientes

This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results. 
This is a focused course designed to rapidly get you up to speed on the process of data analysis and how it can be managed. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward.

After completing this course you will know how to….

1. Describe the basic data analysis iteration
2. Identify different types of questions and translate them to specific datasets
3. Describe different types of data pulls
4. Explore datasets to determine if data are appropriate for a given question
5. Direct model building efforts in common data analyses
6. Interpret the results from common data analyses
7. Integrate statistical findings to form coherent data analysis presentations

Commitment: 1 week of study, 4-6 hours

Course cover image by fdecomite. Creative Commons BY https://flic.kr/p/4HjmvD

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Curso 3 de 5 en

Programa Especializado - Executive Data Science

Aprox. 9 horas para completar

Inglés (English)

Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish), Japonés

Qué aprenderás

Differentiate between various types of data pulls

Describe the basic data analysis iteration

Explore datasets to determine if data is appropriate for a project

Use statistical findings to create convincing data analysis presentations

Habilidades que obtendrás

Data AnalysisCommunicationInterpretationExploratory Data Analysis

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Curso 3 de 5 en

Programa Especializado - Executive Data Science

Aprox. 9 horas para completar

Inglés (English)

Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish), Japonés

Instructores

Calificación del instructor

4,59/5 (228 calificaciones)

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

Calificación del contenido95%(7,608 calificaciones)

Semana

Semana 1

9 horas para completar

Managing Data Analysis

Welcome to Managing Data Analysis! This course is one module, intended to be taken in one week. The course works best if you follow along with the material in the order it is presented. Each lecture consists of videos and reading materials that expand on the lecture. I'm excited to have you in the class and look forward to your contributions to the learning community. If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center. Good luck as you get started, and I hope you enjoy the course!

9 horas para completar

19 videos (Total 144 minutos), 17 lecturas, 7 cuestionarios

19 videos

What this Course is About2m

Data Analysis Iteration8m

Stages of Data Analysis1m

Six Types of Questions6m

Characteristics of a Good Question6m

Exploratory Data Analysis Goals & Expectations11m

Using Statistical Models to Explore Your Data (Part 1)13m

Using Statistical Models to Explore Your Data (Part 2)5m

Exploratory Data Analysis: When to Stop6m

Making Inferences from Data: Introduction5m

Populations Come in Many Forms4m

Inference: What Can Go Wrong7m

General Framework8m

Associational Analyses10m

Prediction Analyses10m

Inference vs. Prediction12m

Interpreting Your Results10m

Routine Communication in Data Analysis6m

Making a Data Analysis Presentation5m

17 lecturas

Pre-Course Survey10m

Course Textbook: The Art of Data Science10m

Conversations on Data Science10m

Data Science as Art10m

Epicycles of Analysis10m

Six Types of Questions10m

Characteristics of a Good Question10m

EDA Check List10m

Assessing a Distribution10m

Assessing Linear Relationships10m

Exploratory Data Analysis: When Do We Stop?10m

Factors Affecting the Quality of Inference10m

A Note on Populations10m

Inference vs. Prediction10m

Interpreting Your Results10m

Routine Communication10m

Post-Course Survey10m

7 ejercicios de práctica

Data Analysis Iteration30m

Stating and Refining the Question30m

Exploratory Data Analysis30m

Inference30m

Formal Modeling, Inference vs. Prediction30m

Interpretation30m

Communication30m

Reseñas

4.6

445 reseña

5 stars
67,37 %
4 stars
25,05 %
3 stars
5,63 %
2 stars
1,01 %
1 star
0,91 %

Aspectos destacados

"Helpful quizzes" en 3 reseñas

"Well-organized content" en 24 reseñas

Principales reseñas sobre MANAGING DATA ANALYSIS

por BC30 de dic. de 2019

Like other reviewers said, this course is larger than the two previous courses. The content is excellent but I am giving 4/5 stars because I found many misspelled words throughout the course lectures.

por EL28 de feb. de 2017

A long course compared to others in the specialization, but a lot of great material. Very well presented, the instructors know how to present this material and make it easy to grasp and understand.

por ST22 de nov. de 2016

The course is full of the cases and the real life examples coupled with the theory background. Its very simple to understand and the course will definitely be of an value for people looking for

por KL16 de abr. de 2018

Great course for those who want a comprehensive overview of an analysis from A-Z. The professor explains each aspect in perfect detail, gives easy to understand examples, very comprehensive.

Ver todas las reseñas

Acerca de 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.

Preguntas Frecuentes

¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿Qué recibiré si me suscribo a este Programa especializado?
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.
¿Hay ayuda económica disponible?
Sí, Coursera ofrece ayuda económica a los estudiantes que no pueden pagar la tarifa. Solicítala haciendo clic en el enlace de Ayuda económica que está debajo del botón “Inscribirse” a la izquierda. Se te pedirá que completes una solicitud. Recibirás una notificación en caso de que se apruebe. Deberás completar este paso para cada uno de los cursos que forman parte del Programa especializado, incluido el proyecto final. Obtén más información.

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.

Managing Data Analysis