Este curso forma parte de Programa especializado: Executive Data Science

4.5
estrellas
7,681 calificaciones
•
1,453 reseña

Jeff Leek, PhD +2 instructores más

176.991 ya inscrito

ofrecido por

Programa especializado: Executive Data ScienceUniversidad Johns Hopkins

Acerca de este Curso

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By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient as possible without sacrificing any of the essentials.
This is a focused course designed to rapidly get you up to speed on the field of data science. 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. 

1. How to describe the role data science plays in various contexts
2. How statistics, machine learning, and software engineering play a role in data science
3. How to describe the structure of a data science project
4. Know the key terms and tools used by data scientists
5. How to identify a successful and an unsuccessful data science project
3. The role of a data science manager


Course cover image by r2hox. Creative Commons BY-SA: https://flic.kr/p/gdMuhT

Fechas límite flexibles

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Certificado para compartir

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100 % en línea

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Curso 1 de 5 en

Programa Especializado - Executive Data Science

Aprox. 7 horas para completar

Inglés (English)

Subtítulos: Chino (tradicional), Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Alemán (German), Urdú, Ruso (Russian), Turco (Turkish), Inglés (English), Español (Spanish), Hindi

Qué aprenderás

Describe Data Science’s role in various contexts

Understand how Statistics and Machine Learning affect Data Science

Use the key terms used by data scientist

Predict whether a Data Science project will be successful

Habilidades que obtendrás

Data ScienceData AnalysisMachine LearningProject

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 1 de 5 en

Programa Especializado - Executive Data Science

Aprox. 7 horas para completar

Inglés (English)

Instructores

Calificación del instructor

4,54/5 (708 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 contenido93%(17,253 calificaciones)

Semana

Semana 1

7 horas para completar

A Crash Course in Data Science

This one-module course constitutes the first "week" of the Executive Data Science Specialization. This is an intensive introduction to what you need to know about data science itself. You'll learn important terminology and how successful organizations use data science.

7 horas para completar

11 videos (Total 78 minutos), 8 lecturas, 9 cuestionarios

11 videos

About Your Instructors1m

What is Data Science?5m

Statistics by example activities11m

Machine learning, the basics13m

Machine learning further reading3m

What is Software Engineering for Data Science?6m

The Structure of a Data Science Project6m

The outputs of a data science experiment6m

The four secrets of a successful data science experiment14m

Data Scientist Toolbox5m

Separating Hype from Value3m

8 lecturas

Specialization Textbook10m

Grading10m

Pre-Course Survey10m

Statistics by example activities10m

Machine learning10m

The outputs of a data science experiment10m

The four secrets of a successful data science experiment10m

Post-Course Survey10m

9 ejercicios de práctica

What is data science?30m

What is statistics good for?30m

Machine learning30m

Quiz: Software Engineering30m

Structure of a Data Science Project30m

The outputs of a data science experiment30m

Defining Success in Data Science30m

Data scientist toolbox30m

Separating hype from value30m

Reseñas

4.5

1453 reseña

5 stars
62,21 %
4 stars
29,14 %
3 stars
6,59 %
2 stars
1,25 %
1 star
0,79 %

Aspectos destacados

"Basic course" en 76 reseñas

"Well taught" en 48 reseñas

Principales reseñas sobre A CRASH COURSE IN DATA SCIENCE

por NG8 de ene. de 2018

Questions could have been more difficult. Plus, I'm frustrated that I was taken into a 25-question survey ranking me with other data scientists, but when I clicked out of it I wasn't able to get back.

por SK18 de jul. de 2017

This course introduced me to the concepts of Data Science and the key words mainly. Some lecturers spoke very fast, and I had listen to them two or three times to keep up with their pace of speaking.

por RA29 de dic. de 2019

Enjoyed the pace at which the course moved. Teachers were qualified and relevant. Video Production quality could be better, some of the presentation graph were illegible - thus the lack of 1 star.

por JX20 de jun. de 2016

fairly general concepts of data science, but may be quite helpful l for people totally new to the field of data (e.g. not having any idea), or as material to review the big picture of data science

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.

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A Crash Course in Data Science