FastTrack: Perform Cloud Data Science with Azure Machine Learning (MS-20774-BC)

This azure training course is designed to provide information regarding the theory and practice of specific advanced methods which are generally used in data science.
  • Virtual Classroom

    Learning Style
  • Intermediate

  • 4 Days

    Course Duration
  • 5 Days

    SATV Value
  • Course Info

  • Sample Certificate

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This azure training course is designed to provide information regarding the theory and practice of specific advanced methods which are generally used in data science.

About this course:

This azure training course is designed to provide information regarding the theory and practice of specific advanced methods which are generally used in data science. Students enrolled in this course will gain knowledge about the different applications that are commonly used for specialized data types with the primary focus being on unstructured data.

These azure classes are designed to teach the students the proper manner of using Microsoft Azure HDInsight for real time analytics, data mining, predictive modeling and data processing. The objective of this azure course is to enhance the students’ analyzing and presentation skills by utilizing Microsoft Azure Machine Learning. It also offers an introduction to the proper method of using Machine Learning with HDInsight and R Services; the tools specifically designed for Big Data. Additionally, by obtaining this azure training, students will be able to be better prepared for the certification exam on Microsoft 70-774: Perform Cloud Data Science with Azure Machine Learning.

This azure course is part of the following Boot Camps:

  • MS-MCSA-MachineLearning FastTrack to MCSA: Machine Learning Boot Camp

On average, a Machine Learning Expert having Microsoft Azure skills can earn up to $128,000/- annually. 

Course Objectives:

Once these azure classes are complete, students will gain the capabilities to:

  • Describe what machine learning is and the process of using languages and algorithms in it.

  • Explain the objective of using Microsoft Azure Machine Learning, and point out and describe the main features of the Microsoft Azure Machine Learning Studio.

  • Upload and analyze the different kinds of data to Microsoft Azure Machine Learning.

  • Use Azure Machine Learning to explore and utilize the different available techniques for preparing data sets, ready to be used at any time.

  • Explore and utilize feature selection and engineering techniques on the various datasets which can be used with Microsoft Azure Machine Learning.

  • Use Microsoft Azure Machine learning to explore and utilize neural networks and regression algorithms.

  • Use Microsoft Azure Machine Learning to explore and utilize clustering algorithms and classification

  • Select the correct time for using a specific language while using R and Python with Microsoft Azure Machine Learning.

  • Score and assess models, by exploring and utilizing multiple algorithms and models, along with hyperparameters.

  • Learn the process of providing end users and customers with Microsoft Azure Machine Learning services along with the method of sharing data which can be generated via Microsoft Azure Learning models.

  • Explore and utilize Cognitive Services APIs  for image and text processing, developing recommendation applications, and for explaining how to use neural networks with Microsoft Azure Machine Learning.

  • Explore and utilize the use of HDInsight with Microsoft Azure Machine Learning.

  • Combine Microsoft Azure Machine Learning with R and R server, and explore how it can be utilized for implementing and configuring the SQL server for supporting R Services.


This course is intended for those people who want to evaluate and present data via Microsoft Azure Machine Learning. However, it can also be undertaken by Developers, IT Professionals, and information workers, requiring the use of support solutions based on Microsoft Azure Machine Learning.


Along with professional experience, students enrolling in this course should have prior experience in or knowledge of the following:

  • Experience of Programming through R and basic knowledge of common R packages.

  • Best practices for data analysis and common statistical methods used for evaluating data.

  • Microsoft Windows Operating System and the core functions available in it

  • Relational Databases and how they work.

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    More Information
    Brand Microsoft
    Subjects Cloud Computing
    Lab Access Yes
    Technology Microsoft
    Learning Style Virtual Classroom
    Difficulty Intermediate
    Course Duration 4 Days
    Language English
    SATV Value 5 Days
    VPA Discount VPA Discount
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    Course Prerequisites
    Performing Data Engineering on Microsoft HD Insight - MOC On Demand (MS-20775)
    • Self-Paced Learning
    • 2 Days
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