This project completer has proven a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real-world practical use case where he justifies architectural decisions, proves understanding the characteristics of different algorithms, frameworks and technologies and how they impact model performance and scalability.
Este curso forma parte de Programa especializado: Advanced Data Science with IBM
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Programa especializado: Advanced Data Science with IBMHabilidades en redes de IBMAcerca de este Curso
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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 4 de 4 en
Nivel avanzado
Aprox. 9 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Chino (simplificado), Ruso (Russian), Inglés (English), Español (Spanish)
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosFechas 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 4 de 4 en
Nivel avanzado
Aprox. 9 horas para completar
Inglés (English)
Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Chino (simplificado), Ruso (Russian), Inglés (English), Español (Spanish)
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negocios
ofrecido por
Habilidades en redes de IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
Programa - Qué aprenderás en este curso
2 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
2 horas para completar
1 video (Total 2 minutos), 7 lecturas, 2 cuestionarios
2 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
2 horas para completar
3 lecturas
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 horas para completar
2 lecturas
3 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
3 horas para completar
5 lecturas
Reseñas
- 5 stars77,27 %
- 4 stars14,70 %
- 3 stars4,01 %
- 2 stars1,60 %
- 1 star2,40 %
Principales reseñas sobre ADVANCED DATA SCIENCE CAPSTONE
por SS13 de ene. de 2019
I liked the peer-graded environment.
Like the final submission requirements. That's really helps in aquiring the skills like presentation skills, Documentation skills, project mangement
por VT17 de mar. de 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!
por MB16 de abr. de 2020
Hard to follow ... found a lot of assistance in discussion forums
por EN2 de jun. de 2020
This was quite enriching as I was able to perform data science analysis with the help of Pyspark and Tensorflow
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.
Preguntas Frecuentes
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