Microsoft Azure Data Scientist Associate Certification Training (DP-100)

Microsoft Azure Data Scientist Associate Certification Training (DP-100)Outline:

Module 1: Introduction to Azure Data Science

• Overview of Azure Data Science and its significance
• Understanding the role of a Data Scientist in Azure
• Introduction to Azure Machine Learning service
• Exploring Azure Machine Learning workspace resources 
• Overview of the DP-100 exam structure and objectives

Module 2: Data Preparation and Exploration

• Gathering and exploring data using Azure tools
• Data preprocessing techniques and feature engineering
• Handling missing data and outliers
• Implementing data scaling and normalization

Module 3: Machine Learning Modeling and Evaluation

• Introduction to Azure Machine Learning Designer
• Building machine learning models using Azure AutoML
• Implementing and evaluating regression models
• Techniques for model evaluation and selection

Module 4: Machine Learning Interpretation and Deployment

• Interpreting and understanding machine learning models
• Explaining model predictions using Azure tools
• Deploying machine learning models to Azure services
• Managing model versioning and deployment strategies

Module 5: Natural Language Processing (NLP)

• Introduction to NLP and its applications
• Implementing NLP techniques using Azure Cognitive Services
• Text classification and sentiment analysis
• Building language understanding models with Azure tools

Module 6: Time Series Forecasting

• Understanding time series data and its challenges
• Techniques for time series forecasting
• Building and evaluating time series models in Azure
• Leveraging Azure services for anomaly detection