Data Analytics

Data Analytics


Courses

In today's business landscape, technology and the data it generates are integral to success across industries. The rise of "big data," fueled by advancements in cloud computing, has empowered organizations with vast computational resources and storage capabilities to capture, store and analyze enormous datasets. Leveraging these capabilities effectively is critical for gaining actionable insights, identifying opportunities and maintaining a competitive edge.


November 1, 2024 to August 1, 2025, Canvas - Learning Management System
Enhance your understanding of supervised, unsupervised, and semi-supervised learning to tackle real-world challenges. Focus on practical machine learning applications and build a portfolio of models to implement in your organization.


August 19, 2024 to August 17, 2025, Canvas - Learning Management System
Enhance your understanding of supervised, unsupervised, and semi-supervised learning to tackle real-world challenges. Focus on practical machine learning applications and build a portfolio of models to implement in your organization.


No public sessions are currently scheduled.
Contact opce@uah.edu to schedule this course for your organization.

Certificate Programs

Discover the power of machine learning. Machine learning is the science of enabling computers to learn and act without explicit programming. Over the past decade, it has become pervasive, resulting in innovations such as self-driving cars, speech recognition, effective web search and a deeper understanding of the human genome. Data scientists also view it as the best path toward achieving human-level Artificial Intelligence (AI). Those capable of extracting knowledge, information and insights from vast amounts of unstructured data benefit from immense power and value. Learn about the most effective machine learning techniques, and practice implementing them to work for you. This program provides a broad introduction to machine learning, building on data mining and statistical pattern recognition. Understand the theory and practical skills needed to quickly and effectively apply these techniques to new problems. Completing this certificate will demonstrate your ability to transform unstructured data into appealing, functional and production-ready machine learning solutions through practical, hands-on experience.

All tools and data utilized in this course will be open source and freely available for use before, during and after the course.