This course runs for a duration of 2 Days.
The class will run daily from 9:00am to 5:00pm.
Class Location: Knowledge Transfer - Eagan, MN.
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:
Module 1: Course Overview
This module explains how the class will be structured and introduces course materials and additional administrative information.
Lessons
Lab 1: Course Overview
After completing this module, students will be able to:
Module 2: What is Machine Learning?
In this module, we will explain machine learning and the concepts behind it.
Lessons
Lab 1: What is Machine Learning?
After completing this module, students will be able to:
Module 3: Introduction to Azure Machine Learning Studio
In this module, we will explore the Azure Machine Learning Studio interface and walk through the options available.
Lessons
Lab 1: Introduction to Azure Machine Learning Studio
After completing this module, students will be able to:
Module 4: Data Preperation
In this module, we will cover the steps necessary for data cleaning and explore other data preparation techniques.
Lessons
Lab 1: Data Preparation
After completing this module, students will be able to:
Module 5: Machine Learning Algorithms
In this module, we will explain the different types of algorithms available and their uses.
Lessons
Lab 1: Machine Learning Algorithms
After completing this module, students will be able to:
Module 6: Building Models - Exercises
In this module, we explore the topic of customer propensity (inclinations and tendencies) and how to use Machine Learning to help with this common business question. This is an exercise module which contains both instructor-led and individual exercises.
Lessons
Lab 1: Building Models - Exercises
After completing this module, students will be able to:
Module 7: Visualizing Analytical Models with Power BI
In this module, we will explore the visualizations and options available using Power BI.
Lessons
Lab 1: Visualizing Analytical Models with Power BI
After completing this module, students will be able to:
Before attending this course, students must have:
•Working knowledge of their own business data.