Informações sobre o curso: 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.
Desenvolvido por: IBM
Ministrado por: Romeo Kienzler, Chief Data Scientist, Course Lead
IBM Watson IoT
| Informações básicas | Curso 4 de 4 no Advanced Data Science with IBM Specialization |
| Nível | Avançado |
| Idioma | English |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
Programa
SEMANA 1
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 videos, 6 leituras
- 阅读: A warm welcome
- 阅读: Overview of Architectural Methodologies for DataScience
- 阅读: Lightweight IB Cloud Garage Method for Data Science
- 阅读: Data Sources and Use Cases
- 阅读: Initial Data Exploration
- 阅读: Architectural Decisions Document (ADD)
- 同学互评: Assignment 1
- 讨论提示: Discussion Promt Week 1
Nota atribuída: Milestones Checklist Week 1
SEMANA 2
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 leituras
- 阅读: Extract Transform Load (ETL)
- 阅读: Data Cleansing
- 阅读: Feature Engineering
- 讨论提示: Discussion Prompt Week 2
- 同学互评: Assignment 2
Nota atribuída: Milestones Checklist Week 2
SEMANA 3
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 leituras
- 阅读: Model Definition
- 阅读: Model Training
- 讨论提示: Discussion Promt Week 3
- 同学互评: Assignment 3
Nota atribuída: Milestones Checklist Week 3
SEMANA 4
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 leituras
- 阅读: Model Evaluation
- 阅读: Model Deployment
- 阅读: Data Product (optional)
- 阅读: Create ADD - Architectural Decisions Document
- 阅读: Create a Video of your final presentation
- 讨论提示: Discussion Promt Week 4
- 同学互评: Assignment 4
Nota atribuída: Milestones Checklist Week 4
Nota atribuída: Project Asset Submission
Perguntas frequentes
Como funciona
课程作业
每门课程都像是一本互动的教科书，具有预先录制的视频、测验和项目。
来自同学的帮助
与其他成千上万的学生相联系，对想法进行辩论，讨论课程材料，并寻求帮助来掌握概念。
证书
获得正式认证的作业，并与朋友、同事和雇主分享您的成功。
Desenvolvedores
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.
Custo
| Comprar curso | |
|---|---|
| Acesso aos materiais do curso | Disponível |
| Acesso a materiais valendo nota | Disponível |
| Receba uma nota final | Disponível |
| Obtenha um Certificado de Curso compartilhável | Disponível |
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