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5. Graduate Certificate Data Science Courses

COS501 - Computational Foundation for Data Science

This course covers advanced topics on the latest advancement in machine learning. The course focuses on application of deep neural networks (deep learning) to the areas of computer vision and natural language processing.

COS536 - Applied Machine Learning

This is required course for Data Science Master’s Program. It extends some topics of DAS541 Data Mining for Business and focuses on the theoretical basis and applications of the state-of-the-art machine learning algorithms.

DAS501 - Mathematical Foundation for Data Science

This course provides students with the mathematical foundations necessary for understanding and working with data in Python. The course covers fundamental concepts in mathematics such as linear algebra, calculus, probability, and statistics, and shows how these concepts are relevant to data science.

###### DAS522 - Exploratory Data Analysis and Visualization

Students will learn the art and science of converting data into graphical representations that make complex information accessible and actionable. This course covers the basics of R programming, data cleaning, transformation techniques, and the use of Tableau for creating compelling dashboards. The curriculum is designed to help students master the skills needed to present data in visual formats that reveal patterns, trends, and correlations.

DAS541 - Data Mining for Business

This course seeks to equip students with a solid understanding of opportunities, techniques, and critical challenges in using data mining and predictive modeling in a business setting. The focus is to enable students to develop the ability to translate business challenges into data mining problems and apply predictive modeling technologies to improve business decisions.