Acerca de este Curso

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Resultados profesionales del estudiante

67%

comenzó una nueva carrera después de completar estos cursos

57%

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.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel avanzado
Aprox. 13 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Francés (French), Árabe (Arabic), Chino (simplificado)

Resultados profesionales del estudiante

67%

comenzó una nueva carrera después de completar estos cursos

57%

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.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel avanzado
Aprox. 13 horas para completar
Inglés (English)
Subtítulos: Inglés (English), Francés (French), Árabe (Arabic), Chino (simplificado)

Instructor

ofrecido por

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IBM

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

3 horas para completar

Week 1 - Identify DataSet and UseCase

3 horas para completar
1 video (Total 2 minutos), 7 lecturas, 2 cuestionarios
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

Semana 2

3 horas para completar

Week 2 - ETL and Feature Creation

3 horas para completar
3 lecturas
3 lecturas
Extract Transform Load (ETL)10m
Data Cleansing10m
Feature Engineering10m
1 ejercicio de práctica
Milestones Checklist Week 2
Semana
3

Semana 3

2 horas para completar

Week 3 - Model Definition and Training

2 horas para completar
2 lecturas
2 lecturas
Model Definition10m
Model Training10m
1 ejercicio de práctica
Milestones Checklist Week 3
Semana
4

Semana 4

5 horas para completar

Model Evaluation, Tuning, Deployment and Documentation

5 horas para completar
5 lecturas
5 lecturas
Model Evaluation10m
Model Deployment10m
Data Product (optional)10m
Create ADD - Architectural Decisions Document10m
Create a Video of your final presentation10m
2 ejercicios de práctica
Milestones Checklist Week 4
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Revisiones

Principales revisiones sobre ADVANCED DATA SCIENCE CAPSTONE

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Acerca de 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

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    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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