Restricted Operations Due to Coronavirus Outbreak

For the safety of our community, UWPCE has restricted operations due to the coronavirus outbreak.

For more information, see our FAQ

Data Science: Machine Learning Techniques


Course Details

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

Get Program Details

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

  • Data science methodology and processes you can apply in your organization
  • 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 train deep learning models using TensorFlow and Keras

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.

  Stay up to date with emails featuring career tips, event invitations and program updates.       Sign Up Now