Acerca de este Curso
4.6
70 calificaciones
13 revisiones

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel avanzado

Aprox. 10 horas para completar

Sugerido: 5 hours/week...

Inglés (English)

Subtítulos: Inglés (English), Francés (French), Chino (simplificado)

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel avanzado

Aprox. 10 horas para completar

Sugerido: 5 hours/week...

Inglés (English)

Subtítulos: Inglés (English), Francés (French), Chino (simplificado)

Programa - Qué aprenderás en este curso

Semana
1
3 horas para completar

Week 1 - Identify DataSet and UseCase

In this module, the basic process model used for this capstone project is introduced. Furthermore, the learner is required to identify a practical use case and data set...
1 video (Total 2 minutos), 7 readings, 2 quizzes
1 video
7 lecturas
A warm welcome10m
Overview of Architectural Methodologies for DataScience10m
Lightweight IBM Cloud Garage Method for Data Science10m
Data Sources and Use Cases10m
Initial Data Exploration10m
Architectural Decisions Document (ADD)10m
Process Model Guidelines10m
1 ejercicio de práctica
Milestones Checklist Week 1
Semana
2
3 horas para completar

Week 2 - ETL and Feature Creation

This module emphasizes on the importance of ETL, data cleansing and feature creation as a preliminary step in ever data science project ...
3 readings, 2 quizzes
3 lecturas
Extract Transform Load (ETL)10m
Data Cleansing10m
Feature Engineering10m
1 ejercicio de práctica
Milestones Checklist Week 2
Semana
3
2 horas para completar

Week 3 - Model Definition and Training

This module emphasizes on model selection based on use case and data set. It is important to understand how those two factors impact choice of a useful model algorithm. ...
2 readings, 2 quizzes
2 lecturas
Model Definition10m
Model Training10m
1 ejercicio de práctica
Milestones Checklist Week 3
Semana
4
5 horas para completar

Model Evaluation, Tuning, Deployment and Documentation

One a model is trained it is important to assess its performance using an appropriate metric. In addition, once the model is finished, it has to be made consumable by business stakeholders in an appropriate way ...
5 readings, 3 quizzes
5 lecturas
Model Evaluation10m
Model Deployment10m
Data Product (optional)10m
Create ADD - Architectural Decisions Document10m
Create a Video of your final presentation10m
1 ejercicio de práctica
Milestones Checklist Week 4
4.6
13 revisionesChevron Right

33%

comenzó una nueva carrera después de completar estos cursos

33%

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

Principales revisiones

por SSJan 14th 2019

I liked the peer-graded environment.\n\nLike the final submission requirements. That's really helps in aquiring the skills like presentation skills, Documentation skills, project mangement

por VTMar 18th 2019

Like that course. It combine all you skills in a one project. It is very helpful for the understanding why and how ML can help for the business. Personal thanks for Romeo Kienzler!

Instructor

Avatar

Romeo Kienzler

Chief Data Scientist, Course Lead
IBM Watson IoT

Acerca de IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

Acerca del programa especializado Advanced Data Science with IBM

As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability. If you choose to take this specialization and earn the Coursera specialization certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link ibm.biz/badging....
Advanced Data Science with IBM

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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