
Ultimate Azure Data Scientist Associate (DP-100) Certification Guide
Simplified Concepts and Effective ML Solutions to Crack the Azure Data Scientist DP-100 Exam (English Edition)
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Ultimate Azure Data Scientist Associate (DP-100) Certification Guide
Simplified Concepts and Effective ML Solutions to Crack the Azure Data Scientist DP-100 Exam (English Edition)
About this book
Empower Your Data Science Journey: From Exploration to Certification in Azure Machine Learning
Book DescriptionUltimate Azure Data Scientist Associate (DP-100) Certification Guide is your essential resource for achieving the Microsoft Azure Data Scientist Associate certification. This guide covers all exam objectives, helping you design and prepare machine learning solutions, explore data, train models, and manage deployment and retraining processes.
The book starts with the basics and advances through hands-on exercises and real-world projects, to help you gain practical experience with Azure's tools and services. The book features certification-oriented Q&A challenges that mirror the actual exam, with detailed explanations to help you thoroughly grasp each topic. Perfect for aspiring data scientists, IT professionals, and analysts, this comprehensive guide equips you with the expertise to excel in the DP-100 exam and advance your data science career.
Table of Contents1. Introduction to Data Science and Azure2. Setting Up Your Azure Environment3. Data Ingestion and Storage in Azure4. Data Transformation and Cleaning5. Introduction to Machine Learning6. Azure Machine Learning Studio7. Model Deployment and Monitoring8. Embracing AI Revolution Azure9. Responsible AI and Ethics10. Big Data Analytics with Azure11. Real-World Applications and Case Studies12. Conclusion and Next Steps Index
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Information
Table of contents
- Cover Page
- Title Page
- Copyright Page
- Dedication Page
- About the Author
- About the Technical Reviewer
- Acknowledgements
- Preface
- Errata
- Table of Contents
- 1. Introduction to Data Science and Azure
- 2. Setting Up Your Azure Environment
- 3. Data Ingestion and Storage in Azure
- 4. Data Transformation and Cleaning
- 5. Introduction to Machine Learning
- 6. Azure Machine Learning Studio
- 7. Model Deployment and Monitoring
- 8. Embracing AI Revolution Azure
- 9. Responsible AI and Ethics
- 10. Big Data Analytics with Azure
- 11. Real-World Applications and Case Studies
- 12. Conclusion and Next Steps
- Index