R for Data Science
This full-day in-person, hands-on workshop provides participants with information on using R for Data Science.…
Data and Information Architectures
Data analysis can only occur within the context of a supporting data architecture. Although the…
Data Processing and Preparation
Before data can be used for increased awareness, decision support and knowledge discovery, it must…
AI/ML: Introduction to Techniques and Processes
This half-day workshop provides participants with an introduction to: The foundational components of AI and…
Spotlight on Classification and Value Estimation I
In this course, we introduce a number of classification and value estimation methods: logistic regression,…
Math/Stats for Machine Learning and AI
To be comfortable with machine learning, learners need some knowledge of a number of mathematical…
Spotlight on Clustering II
In this course, we introduce a number of clustering methods: EM clustering, latent Dirichlet allocation,…
Spotlight on Clustering I
In this course, we introduce a number of clustering methods: DBSCAN, spectral clustering, and ensemble…
Spotlight on Classification and Value Estimation II
In this course, we introduce a number of classification and value estimation methods: rare occurrence…
Data Insights Fundamentals
Some fundamental ideas and perspectives apply to any kind of data practice. This course introduces…