Microsoft Certified: Data Scientist Associate Exam Preparation (DP-100) ( msdp100 | 21 hours )

• A fundamental understanding of machine learning concepts and experience working with data analytics
• Familiarity with the basics of programming and data manipulation is also recommended

Audience

• Data scientists
• Data analysts
• Anyone who wants to learn about machine learning and prepare for the DP-100 exam

This instructor-led, live training (online or onsite) is designed to help participants prepare for the Microsoft Certified: Data Scientist Associate certification exam (DP-100). 

The course covers the basics of data science and machine learning, and how they can be implemented using Microsoft Azure Machine Learning. Participants will learn how to prepare data, build and train machine learning models, and deploy models to the cloud. The course also covers how to evaluate model performance and perform feature engineering.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs and practice exams to help participants prepare for the DP-100 exam.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Data Science

• What is Data Science?
• The Data Science Process
• Data Science Tools and Techniques
• Microsoft Azure Machine Learning

Preparing Data

• Data Sources and Types
• Data Cleaning and Transformation
• Feature Engineering

Building and Training Models

• Supervised Learning
• Unsupervised Learning
• Model Selection and Evaluation
• Interpreting Model Outputs

Deploying Models

• Deploying Models to Azure
• Scalability and Performance
• Managing Deployed Models

Evaluating Model Performance

• Model Evaluation Metrics
• Tuning Model Performance
• Managing Model Versions

Summary and Exam Preparation

• Review of Key Concepts
• Exam Preparation Tips and Strategies
• Hands-on Practice Exam