9:00am - 4:30pm
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 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.
Before attending this course, students must have:
Working knowledge of their own business data.
Module 1: Course Overview Introduction
What We'll Be Discussing
Lab : Course Overview
Module 2: What is Machine Learning? Introdcution
Supervised vs. Unsupervised Methods
Development Methodology with Azure Machine Learning Studio
Be Very Vigilant
Lab : What is Machine Learning?
Module 3: Introduction to Azure Machine Learning Studio Experiments
Walkthrough Exercise and Group Discussions
Lab : Introduction to Azure Machine Learning Studio
Module 4: Data Preparation Tools for Cleaning
Text Files vs. Binary Files
Structures of Data
Steps for Data Cleaning
Common Cleaning Tasks
Lab : Data Preparation
Module 5: Machine Learning Algorithms Regression
Azure Machine Learning Cheat Sheet
Group Discussion and Exercises
Lab : Machine Learning Algorithms
Module 6: Building Models - Exercises Group Discussion 1: Data Acquisition
Group Discussion 2: Data Preparation
Group Discussion 3: Feature Selection
Group Discussion 4: Train Data
Group Discussion 5: Cross Validation and Comparing Regressions
Group Discussion 6: Results
Group Discussion: Evaluate the Solutions - Learn from Examples
Lab : Building Models - Exercises
Module 7: Visualizing Analytical Models with Power BI What is Power BI?
Creating a Power BI Account
Deploying to Power BI
Lab : Visualizing Analytical Models with Power BI