This course introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning). Learners explore best practices to deploy, monitor, and maintain (tiny) Machine Learning models in production at scale.

Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.

Become a UX data scientist! From qualitative data analysis to big data Web analytics, you will be able to leverage insights from data to make empirically-based recommendations.

In this course you will learn to fit hierarchical models with random effects.

The Big Data Technology Capstone Project will allow you to apply the techniques and theory you have gained from the four courses in this MicroMasters program to a medium-scale project.

Learn the fundamental techniques for data analytics and to be prepared for learning and applying more advanced big data technologies.

A Power BI report is only as good as the data that drives it; so how do you make sure you've got the best and most effective data? This course helps you understand who owns the data in your organization so you can get the right data when you need it.

Learn how to use SQL to analyze your business metrics and key performance indicators (KPIs).

Learn about the differences between different regression models and how to decide which one to use.

Learn about the differences between different regression models and how to decide which one to use.

Learn the basics of regular expressions and how to pull and clean data from the web with Python.

Practice more SQL in this course that covers how to manipulate and transform data.