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Microsoft Certified: Azure Data Scientist Associate (DP-100)

The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline.

Blended Learning

Learning Style

Microsoft

Provider

Intermediate

Difficulty

Varies

Course Duration

Certificate

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The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline.

Course Information

If you enroll in this course without the Master Subscription plan, you receive a Free Official Exam Voucher (excluding purchases using Training Vouchers / SATV) for the DP-100 Exam. This course does not include Exam Voucher if enrolled within the Master Subscription, however, you can request to purchase the Official Exam Voucher separately.

About this Course:

Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.

The average Azure Data Scientist salary is $128,627 per year.

 

Course Objectives:

  • Doing Data Science on Azure
  • Doing Data Science with Azure Machine Learning service
  • Automate Machine Learning with Azure Machine Learning service

Audiences:

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


Prerequisites:

Before attending this course, students must have:
  • Azure Fundamentals
  • Understanding of data science including how to prepare data, train models, and evaluate competing models to select the best one.  
  • How to program in the Python programming language and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn.

Outline

More Information

More Information
BrandMicrosoft
SubjectsCloud Computing
Lab AccessNo
TechnologyMicrosoft
Learning StyleBlended Learning
Learning TypeCertification
DifficultyIntermediate
Course DurationVaries
LanguageEnglish

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Course Expert:

Author

Tom Robertson
(Data Science Enthusiast)

Tom Robertson is a Python-based data scientist with domain knowledge in behavioral neuroscience research and non-profit development. He is currently employeed as Data Science Instructor at QuickStart Technologies. Tom is inspired by the belief that data science can improve quality of life by providing our researchers, doctors and policy-makers with new, data-driven insights.

Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.

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