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Microsoft Azure Data Scientist Associate (DP-100)

Earn your Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate on Coursera. Designed for data scientists familiar with Python and machine learning frameworks such as Scikit-Learn, PyTorch, and TensorFlow, this program equips you with the skills to build and operate machine learning solutions in the cloud. Throughout the course.
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106 Cursussen


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Overzicht

Earn your Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate on Coursera. Designed for data scientists familiar with Python and machine learning frameworks such as Scikit-Learn, PyTorch, and TensorFlow, this program equips you with the skills to build and operate machine learning solutions in the cloud.

Throughout the course, participants will gain hands-on experience in creating end-to-end solutions using Microsoft Azure, managing Azure resources, running experiments, training models, deploying and operationalizing machine learning solutions, and implementing responsible machine learning practices.

Additionally, you will learn how to utilize Azure Databricks for data exploration, preparation, and modeling while integrating it with Azure Machine Learning.

This comprehensive program consists of 5 targeted courses, culminating in the opportunity to take the Exam DP-100:

Designing and Implementing a Data Science Solution on Azure, proving your capability to scale machine learning solutions using Azure Machine Learning.

Deepen your expertise in managing data ingestion, preparation, model training, and deployment, and monitor machine learning solutions with this specialization. Each course is carefully crafted to teach the concepts and skills assessed in the exam, paving the way for your successful certification.

Categories include Python Courses, Machine Learning Courses, Microsoft Azure Courses, Cloud Computing Courses, Data Science Courses, Apache Spark Courses, and DP-100:

Designing and Implementing a Data Science Solution on Azure Courses.


Gegeven door

Microsoft


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