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Azure Data Scientist Certification: Designing and Implementing a Data Science solution on Azure (DP-100)

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This course is designed to train participants how to use Azure services. Azure services can be used to create, train and deploy machine learning solutions.


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3 Days

Course Duration

Course Info

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This course is designed to train participants how to use Azure services. Azure services can be used to create, train and deploy machine learning solutions.

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:

In today's world where every industry relies heavily on a strong tech department and where efficient management of data is a must for all organizations, having an Azure data engineering certification is a sure way to ensure a well paying job at any firm; whether big or small. An average Azure Data Scientist earns around  $128,627 per annum which is a great wage in view of the current economy.

This course is designed to train participants how to use Azure services. Azure services can be used to create, train and deploy machine learning solutions. This course includes an overview of data science services available on Azure. It also includes a detailed insight into Azure Machine learning service which is the major data science service by Azure . The students will be taught how to use Azure Machine learning service to automate data.

This course deals specifically with Azure and does not guarantee a training in the basis of data science in general. A prior assumption is that students signing up for this course know this beforehand.

Course Objective:

 Upon completion of this course, the participant should have an advanced skill set and a sound working knowledge of the following principals while also be able to;

  • Learn how to practice data science on Azure
  • Learn how to practice data science on Azure using Azure Machine learning service
  • Gain the skills needed to automate Machine learning with Azure Machine learning service


This particular course is aimed at the following audience;

  • Data scientists
  • Those tasked with the role of training and deploying machine learning models


The following prerequisites are absolutely necessary to be eligible to take this course;

  • Basic understanding of Azure fundamentals
  • Basic knowledge of data sciences including the skills needed to prepare data, train and evaluate models ultimately selecting the most efficient one
  • Know programming using Python programming language
  • Basic knowledge of using python libraries namely; Pandas, Sickit-learn, matplotlib and seaborn

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Brand Microsoft
Subjects Big Data
Lab Access No
Technology Microsoft
Learning Style Virtual Classroom
Learning Type Certification
Difficulty Intermediate
Course Duration 3 Days
Language English

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Course Expert:


Tom Robertson
(Data Science Enthusiast)

Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.

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.

Customer Reviews
  1. Azure Data Scientist Certification: Designing and Implementing a Data Science solution on Azure (DP­100)
    Overall Satisfaction
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