- Self-paced
- Free Access
- Fee-based Certificate
Predictive Analytics for IoT Solutions
You can't access an archived course
- 4 Sequences
- Intermediate Level
Course details
Syllabus
Some assessment questions will be presented during the labs. These questions will help you to prepare for the final assessment.
The course includes four modules, each of which contains two or more lab activities. The lab outline is provided below.
Module 1: Introduction to Machine Learning for IoT
- Lab 1: Examining Machine Learning for IoT
- Lab 2: Getting Started with Azure Machine Learning
- Lab 3: Exploring Code-First Machine Learning with Python
- Lab 1: Exploring IoT Data with Python
- Lab 2: Cleaning and Standardizing IoT Data
- Lab 3: Applying Advanced Data Exploration Techniques
- Lab 1: Exploring Feature Engineering
- Lab 2: Applying Feature Selection Techniques
- Lab 1: Training a Predictive Model
- Lab 2: Analyzing Model Performance
Prerequisite
- IoT terminology and business goals
- How to use modern software development tools
- Basic principles of Python programming
- Basic data analytics techniques
- General machine learning concepts
Instructors
Chris Howd
Engineer and Software Developer
Microsoft
Sheila Shahpari
CTO, Paritta Group
Paritta Group
Editor
Microsoft Corporation is an American multinational technology company headquartered in Redmond, Washington, that develops, manufactures, licenses, supports and sells computer software, consumer electronics and personal computers and services. Its best known software products are the Microsoft Windows line of operating systems, Microsoft Office office suite, and Internet Explorer web browser.
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