edXMachine LearningFree courseIntermediate levelCertificate

Principles of Machine Learning: R Edition

Get hands-on experience building and deriving insights from machine learning models using R and Azure Notebooks.

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Course Description

Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends.
In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using R, and Azure Notebooks.
edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance.
Introduction to Machine Learning
Exploring Data
Data Preparation and Cleaning
Getting Started with Supervised Learning
Improving Model Performance
Machine Learning Algorithms
Unsupervised Learning
Note: This syllabus is preliminary and subject to change.

Intermediate Level

Time: 6 Weeks - 6-8 hours per week

Instructor Details

Jonathan Sanito

Jonathan works as a content developer and project manager for Microsoft focusing in Data and Analytics online training. He has worked with trainings for developer and IT pro audiences, from Microsoft Dynamics NAV to Windows Active Directory. Before coming to Microsoft, Jonathan worked as a consultant for a Microsoft partner, implementing Microsoft Dynamics NAV solutions.