By completing this course, you will learn how to apply, test, and interpret machine learning algorithms as alternative methods for addressing your research questions.

Apr 26, 2025 · Data science studies data and how to extract meaning from it, whereas machine learning is a field devoted to understanding and building methods that utilize data to improve …

You’ll start by exploring the basic concepts of machine learning and the role of machine learning in data science. Then, you’ll review the four main types of machine learning: supervised, …

We’ll dive into the intricacies of foundational techniques like decision trees, Bayes classifier, ensemble learning, and more as you learn to navigate real-world dataset analysis with …

Master Data Analytics and Deep Learning Techniques. Learn advanced data preprocessing, big data technologies, and deep learning to build predictive models and analyze complex datasets.

Feb 18, 2025 · Discover the differences between predictive analytics and machine learning, two core concepts in data science. Both predictive analytics (PA) and machine learning (ML) are …

Oct 21, 2025 · Upon completion of this advanced-level, eight-course series, you'll have had opportunities to build machine learning models for data analysis, create visualizations, and …

This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine …

May 3, 2025 · Learn how machine learning and data analytics power predictive analytics and explore predictive analytics examples from companies across industries, including health care, …

It covers statistical inference, regression models, machine learning, and the development of data products. In the Capstone Project, you’ll apply the skills learned by building a data product …