Data Science: Machine Learning Techniques

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Course Details

This course can only be taken as part of the Certificate in Data Science.

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About this Course


Machine learning is an integral tool for data science. In this course, you’ll develop the ability to apply powerful machine learning and predictive analytics methods. We’ll cover key machine learning models — including classifiers, regression and unsupervised learning — as well as model theory. You’ll learn how to construct and apply these models to data science problems, including algorithm selection, model training and model evaluation.

What You’ll Learn

  • Theory of supervised and unsupervised machine learning models
  • Methods of feature selection and regularization
  • Techniques for applying classification, regression and unsupervised machine learning models
  • Aspects of linear and nonlinear models
  • Deep learning models and their relationship to other machine learning models

Get Hands-On Experience

  • Use Python packages such as pandas, scikit-learn and matplotlib
  • Create and tune machine learning algorithms in Azure Machine Learning Studio

Program Overview

Complete the courses listed below to earn the certificate. You may be able to take individual courses without enrolling in the certificate program; check the course pages for details.