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

  • Virtual Classroom

    Learning Style
  • Intermediate

    Difficulty
  • 4 Days

    Course Duration
  • 5 Days

    SATV Value
  • Course Info

  • Sample Certificate

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$6,500.00
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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.

Audience:

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.

Prerequisites:

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
    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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    FAQ's

    Frequently Asked Questions About Virtual Instructor-Led Courses

    I can't connect to my class, what are my options?

    The link to the class is available upon logging in to your dashboard. If you are unable to see it, please contact our support team at 1-855-800-8240 and they will be happy to provide you the direct link via email or the dial in number.


    I can't make it to attend to class. Can I reschedule?

    Yes, you can reschedule your class. Please contact your Sales representative and they will arrange this for you. If you forgot his/her name, feel free to contact our support team at support@quickstart.com or 1-855-800-8240.


    Will I get my certificate upon completion?

    Yes. Upon completion of the course, it will be available on your course as a Trophy Icon for you to download. If you do not see this, you will need to contact support@quickstart.com with the following details so they can email you the certificate: Class Name, Class Date, Account Rep, and Your Email.


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    I don't have audio. I can't hear the instructor.

    Make sure you are using a compatible headset for your laptop or computer. If you don’t have a headset, you can use the built-in speaker of your laptop. Otherwise, you can use the dial in option by calling the dial in number provided in the class joining email. You may also contact support team for the dial in numbers associated for your training at 1-855-800-8240 or contact them via email at support@quickstart.com.


    How can I reach student support?

    Support can be reach via phone at 1855-800-8240; via email at support@quickstart.com or via chat support through the chat button on our website. Please note that support office hours will be from 8am-5pm CST Monday to Friday. Any concerns after office hours will be attended the following business day.

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