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DP-100 : Designing and Implementing a Data Science Solution on Azure

Data Scientist is the central role in developing machine learning models. This role is responsible for solving the business problem that initiated the project. While the Data Engineer will prepare the data to be used for the models, the Data Scientist determines what data is needed for model training, creates model features from the data, determines what machine learning model to use, trains and evaluates the model, and often has involvement in model deployment. Often the data scientist needs to evaluate multiple models to determine which performs the best.

Module 1: Doing Data Science on Azure
Module 2: Doing Data Science with Azure Machine Learning service
Module 3: Automate Machine Learning with Azure Machine Learning service
Module 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning service

 

This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.

 

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