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Course Information

Microsoft Cloud Workshop: Big Data and Visualisation Course Outline | M40502

Module 1: Big Data and Visualisation

Lessons

  • Review the Customer Case Study
  • Design a Proof of Concept Solution
  • Present the Solution

Module 2: Hands-on Lab - Big data and visualisation

       Lessons

  • Build a Machine Learning Model
  • Setup Azure Data Factory
  • Deploy your Machine Learning Model with Azure ML
  • Develop a Data Factory Pipeline for Data Movement
  • Operationalise ML Scoring with Azure Databricks and Data Factory
  • Summarise Data using Azure Databricks
  • Visualise in Power BI Desktop
  • Deploy Intelligent Web App

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Prerequisites

There are no pre-requisites for this course.

Who should attend this Microsoft Cloud Workshop?

This course is for IT Professionals and Data Scientists who want to learn about Microsoft Technologies.

Microsoft Cloud Workshop: Big Data and Visualisation Course Overview | M40502

In this workshop, delegates will acquire knowledge of how to deploy a web app using Machine Learning to predict travel delays given flight delay data and weather conditions. They will also learn how to plan a bulk data import operation, followed by preparation, such as cleaning and manipulating the data for testing, and training your Machine Learning model.

In this 1-day workshop, delegates will learn how to build a complete machine learning model in Azure Databricks for predicting if an upcoming flight will experience delays. In addition, they will learn how to store the trained model in Azure Machine Learning Model Management, then deploy to Docker containers for scalable on-demand predictions. Use Azure Data Factory (ADF) for data movement and operationalising ML scoring, summarise data with Azure Databricks and Spark SQL, and visualise batch predictions on a map using Power BI.

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What's included in this Microsoft Cloud Workshop?

  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

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Why choose us

Ways to take this course

Our easy to use Virtual platform allows you to sit the course from home with a live instructor. You will follow the same schedule as the classroom course, and will be able to interact with the trainer and other delegates.

Our fully interactive online training platform is compatible across all devices and can be accessed from anywhere, at any time. All our online courses come with a standard 90 days access that can be extended upon request. Our expert trainers are constantly on hand to help you with any questions which may arise.

What our customers are saying

Frequently asked questions

FAQ's

Please arrive at the venue at 8:45am.
There are no pre-requisites for this course.
This course is for IT Professionals and Data Scientists who want to learn about Microsoft Technologies.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 1 day.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The price for Microsoft Cloud Workshop: Big Data and Visualisation M40502 certification in Canada starts from CAD2995
The Knowledge Academy is the Leading global training provider in the world for Microsoft Cloud Workshop: Big Data and Visualisation M40502.

Why choose us

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Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

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Many delivery methods

Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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