Microsoft Azure Data Scientist course. Microsoft Azure offers various training and certification programs, including those for data science professionals. The Microsoft Azure Data Scientist certification is designed to validate your skills in deploying machine learning models using Azure Machine Learning and other Azure services.

The course typically covers topics such as:

1. Introduction to Azure Machine Learning: Understanding the basics of Azure Machine Learning, its features, and how it integrates with other Azure services.
2. Data Preprocessing and Transformation: Techniques for cleaning, transforming, and preparing data for machine learning tasks.
3. Feature Engineering: Creating meaningful features from raw data that improve the performance of machine learning models.
4. Model Selection and Evaluation: Choosing appropriate machine learning algorithms, tuning hyperparameters, and evaluating model performance.
5. Deploying Models: Deploying machine learning models as web services or containers in Azure to make predictions in real-time.
6. Azure Services Integration: Utilizing other Azure services like Azure Databricks, Azure Data Factory, and Azure Cosmos DB to enhance data science workflows.
7. Machine Learning Pipelines: Designing end-to-end machine learning pipelines for automated data processing and model deployment.

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