Coding for Analysis ▸
Syracuse University micro-credential*
Intro to Data Decision-Making Using AI ▸
Syracuse University micro-credential*
Applied AI ▸
Syracuse University micro-credential*
Project Management ▸
Syracuse University micro-credential*
*A focused credential that demonstrates mastery in a specific skill.
Instructor
Dylan Burrows
dburrows@golisanoinstitute.org
Instructor
Graham Anthony
ganthony@golisanoinstitute.org
Introduction to Data Decision Making using AI
Syracuse University micro-credential
Advances students’ analytics skills by building and using artificial intelligence models to answer key business questions. This course focuses on transforming data into insights for strategic decision-making and customer understanding.
Core Topics
- Introduction to the fields of business analytics and data analytics
- Probability, Statistics, and Data Ingestion
- Unsupervised Machine Learning
- Supervised Machine Learning
- Linear Modeling
- Text Mining for Natural Language Processing
- Generative AI
- Final Project
Learning Outcomes and Career Relevance
- Students will be able to construct machine learning models to identify patterns and predict outcomes in a business context
- Students will be able to explain the different types of models, how to train and apply the models, and how to evaluate and select a model for a given business problem.
- Students will be able to explain natural language processing, its application to business, and the mechanisms behind it.
- Students will be able to discuss current trends in AI using a technically sophisticated lens.