Certified Analytics Professional: Lifecycle Management
With the growing need for data analytics in a variety of organizations because of the benefits that they provide, so is the growing competition among technology professionals to vie for senior positions and career advancement in this area.
What you'll learn
In this course, Certified Analytics Professional: Lifecycle Management, you’ll gain the ability to evaluate the key concepts for the data lifecycle management process of the organization. First, you’ll explore how to create the documentation for the data lifecycle management process. Next, you’ll discover how to track performance, re-calibrate, and maintain the model in an organization’s data lifecycle management process. Finally, you’ll learn how to evaluate the benefits of the model over time. When you’re finished with this course, you’ll have the skills and knowledge of Lifecycle Management needed to help the learner have a better chance of earning a Certified Analytics Professional certification which would help them to advance their career in data analytics.
Table of contents
- Overview and Relevance of Lifecycle Management Documentation 6m
- Steps for Creating Documentation for Data Lifecycle Management 6m
- Documentation Content for Data Lifecycle Management: Section 1 - 5 5m
- Documentation Content for Data Lifecycle Management: Section 6 - 10 4m
- Documentation Content for Data Lifecycle Management: Section 11 - 15 3m
- Documentation Content for Data Lifecycle Management: Section 16 - 21 4m
- Tools for Data Lifecycle Management Documentation 4m
- Use Case: Creating Documentation for Data Lifecycle Management Process 4m
- Overview and Relevance of Tracking Model Performance 4m
- Tools to Track Model Performance 4m
- Steps in Tracking Model Performance: Step 1 - 3 4m
- Steps in Tracking Model Performance: Step 4 3m
- Steps in Tracking Model Performance: Step 5 - 8 7m
- Steps in Tracking Model Performance: Step 9 - 11 3m
- Use Case: Tracking Model Performance for Data Lifecycle Management 3m
- Overview of Model Re-calibration and Maintenance: Model Calibration 4m
- Overview of Model Re-calibration and Maintenance: Model Maintenance 3m
- Relevance of Model Re-calibration and Maintenance 2m
- Key Concepts of Model Re-calibration and Maintenance 4m
- Tools for Model Re-calibration and Maintenance 3m
- Steps in Model Re-calibration and Maintenance Process: Step 1 - 5 6m
- Steps in Model Re-calibration and Maintenance Process: Step 6 - 10 4m
- Steps in Model Re-calibration and Maintenance Process: Step 11 - 14 4m
- Use Case: Model Re-calibration and Maintenance for Data Lifecycle Management 4m
- Overview of Evaluating Model Business Costs and Benefits 4m
- Key Concepts of Evaluating Model Costs and Benefits: Cost-benefit Analysis, KPIs, Lifecycle Stages Evaluation 4m
- Key Concepts of Evaluating Model Costs ad Benefits: Feedback Mechanisms, Resource Allocation 5m
- Tools for Evaluating Model Costs and Benefits 5m
- Use Case: Evaluating Model Business Costs and Benefits 6m
About the author
She is the Co-founder as well as Strategy Lead of AtoANI (sustainable agriculture) and AtoANI BioPack (biodegradable packaging). She is passionate about Social Innovation and using it to contribute to the UN Sustainable Development Goals. With a Chemical Engineering and MBA Degree, her corporate experience in multinational companies involves working on various topics in the areas of Strategy, Digitalization, Innovation, Finance, Material Management, Quality Assurance, Program and Project Managem... more