KT-55162 Creating and Deploying in Minutes No-Code Predictive Analytics Using Azure Machine Learning Training - Minneapolis, Minnesota IT MN Technical Financial New York, NY
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Creating and Deploying in Minutes No-Code Predictive Analytics Using Azure Machine Learning


Description: 

This course is designed to introduce the participant to the exciting world of predictive analytics built using drag-and-drop with Microsoft Azure Machine Learning Studio, all without coding from your desktop, using your browser.

Audience profile
The course is targeted towards business analysts, business intelligence developers, and managers interesting in exploring the world of predictive analytics for use as a competitive tool.

At course completion
After completing this course, students will be able to:

  • Understand what machine learning is.
  • Understand the differences between supervised and unsupervised methods.
  • Understand the analytics spectrum.
  • Understand the development methodology.
  • Understand and utilize the Azure Machine Learning Studio interface.
  • Understand and utilize tools for cleaning.
  • Understand the differences between text files and binary files.
  • Understand structures of data.
  • Understand and utilize steps for data cleaning.
  • Understand and utilize feature selection.
  • Understand feature engineering.
  • Understand and utilize regression.
  • Understand and utilize classification.
  • Understand and utilize clustering.
  • Understand anomaly detection.
  • Understand and utilize the Azure Machine Learning Cheat Sheet.
  • Understand and utilize visualizations.
  • Understand data acquisition.
  • Understand data preparation.
  • Understand feature selection.
  • Understand and utilize Train Data.
  • Understand cross validation and comparing regressions.
  • Evaluate solutions and learn from examples.
  • Understand and utilize regression algorithms.
  • Understand and utilize classification algorithms.
  • Understand and utilize clustering algorithms.
  • Understand utilize joined datasets.
  • Understand and utilize Power BI.

 
Click here to view the Course Outline
     
Prerequisite: 

Before attending this course, students must have:
•Working knowledge of their own business data.

 
   
     
Duration: 
2 Days  
     
     

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