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Handbook for Learning Data Science

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Handbook for Learning Data Science

Welcome
Introduction
Introduction
Life Cycle
Life Cycle
- Overview Overview
  Table of contents
  - Essential Capabilities in Data Science
  - Different Roles in Data Science
- Lifecycle of an ML project
- Business
- Data Life Cycle
MLOps
MLOps
- Data Acquisition
- Data Preparation
XAI
Privacy, Fairness, Legal Compliance
Approaches to Machine Learning Application Development
Practical Hands-on skills
Practical Hands-on skills
Infrastructure
Infrastructure
Case Study
Sample Excises and Student projects
Conclusion

Table of contents

Essential Capabilities in Data Science
Different Roles in Data Science

Overview

Essential Capabilities in Data Science

Different Roles in Data Science

Comments

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