Deep Learning for Business Analytics

1.5 units

Deep learning enables organizations to analyze unstructured data such as text, images, and video—more effectively, making it a vital skill for business analysts and managers. This course explores how deep learning can be applied to solve business challenges in today’s data-rich environment, where most organizational data is unstructured (e.g., text, images, video). Students will learn to design, train, and optimize deep learning models using Python libraries such as TensorFlow Keras. Topics include neural network foundations, dense neural networks, convolutional and recurrent neural networks, self-supervised learning, and their applications across domains such as marketing, customer analytics, financial risk prediction, supply chain, and healthcare. By the end of the course, students will be equipped to apply deep learning methods to extract insights and improve business decision-making. Students may not earn credit in both DAT 5565 and 6565.