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Empower Your Data Science Journey: From Exploration to Certification in Azure Machine Learning

Key Features
? Offers deep dives into key areas such as data preparation, model training, and deployment, ensuring you master each concept.
? Covers all exam objectives in detail, ensuring a thorough understanding of each topic required for the DP-100 certification.
? Includes hands-on labs and practical examples to help you apply theoretical knowledge to real-world scenarios, enhancing your learning experience.

Book Description
Ultimate 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 Azures 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.

What you will learn
? Design and prepare effective machine learning solutions in Microsoft Azure.
? Learn to develop complete machine learning training pipelines, with or without code.
? Explore data, train models, and validate ML pipelines efficiently.
? Deploy, manage, and optimize machine learning models in Azure.
? Utilize Azures suite of data science tools and services, including Prompt Flow, Model Catalog, and AI Studio.
? Apply real-world data science techniques to business problems.
? Confidently tackle DP-100 certification exam questions and scenarios.

Table of Contents

Introduction to Data Science and Azure
Setting Up Your Azure Environment
Data Ingestion and Storage in Azure
Data Transformation and Cleaning
Introduction to Machine Learning
Azure Machine Learning Studio
Model Deployment and Monitoring
Embracing AI Revolution Azure
Responsible AI and Ethics
Big Data Analytics with Azure
Real-World Applications and Case Studies
Conclusion and Next Steps
Index

About the Authors
Rajib Kumar De is a seasoned Data Scientist with a Masters in Statistics and over a decade of industry experience. He excels in Analytics, Predictive Modeling, Machine Learning, Cloud Computing (Microsoft Azure), AI, Deep Learning, and NLP. With a strong research mindset, he tackles complex problems using supervised and unsupervised learning methods.

Technical Expertise and Team Collaboration: Programming Languages: R, Python, Cloud Platforms: Microsoft Azure, Azure Databricks, Microsoft Fabric, Data Science Tools: Azure ML, MLFlow, Fabric Data Science

Rajib collaborates with a team of experts to tackle complex projects and ensure client satisfaction. Outside of work, he enjoys stock market analysis and travel. His blend of technical skills, certifications, and client-focused approach makes him an ideal partner for data science and machine learning projects.

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Ultimate Azure Data Scientist Associate (DP-100) Certification Guide

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