ANLY 6500 - Advanced Data Analytics

Institution:

Southern Utah University

Subject:

Business Analytics

Description:

This course provides a hands-on introduction to advanced deep learning techniques with a focus on modern applications in image and text analysis. Students will gain practical experience using Python and PyTorch to build, train, and evaluate deep learning models for regression, classification, and natural language processing (NLP) tasks. Key topics include activation and loss functions, dataset management, learning rate schedulers, and transfer learning. The course also introduces Large Language Models (LLMs) and the Hugging Face Transformers library for sentiment analysis, named entity recognition, and text generation. By the end of the course, students will be able to design and implement end-to-end deep learning solutions for real-world data analytics problems. Designed to prepare students for data-centric careers, this course offers a rigorous, hands-on experience, equipping them with the tools needed for roles in management information systems, data analysis, and related fields. (Fall - 2nd Session) [Graded Letter] Prerequisite(s): ANLY 6100 - Prerequisite Min. Grade: C Registration Restriction(s): MSBA students only

Credits:

3.00

Credit Hours:

Prerequisites:

ANLY 6100

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.suu.edu/

Phone Number:

(435) 586-7700

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

General Education

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