Updated computing course teaches new approach to data analysis

Source Domain: news.unl.edu

The University of Nebraska–Lincoln is updating its computing courses to prepare students for an AI-driven future by integrating classic computing principles with cutting-edge technologies.
The course Data Analysis CSCE 320 has been redesigned and will be renamed Data Analysis with Machine Learning, focusing on practical application rather than deep coding skills.
Under the guidance of Professor Ashok Samal, students learn to leverage existing APIs and tools for machine learning tasks without needing extensive coding experience.
The redesigned course emphasizes practical application over development, making it accessible to students across various disciplines, including non-computing majors.
Students learn to apply machine learning techniques to diverse datasets, including topics like medical images, penguin species, sleep cycles, and movie details, reflecting the interdisciplinary nature of the data science major.
Coursework includes interactive lessons, lectures, quizzes, labs, and the opportunity to complete an IBM Professional Certificate through Coursera, providing a professional credential.
The course aims to equip students with the ability to understand and solve machine learning problems, fostering adaptability and proficiency in addressing real-world challenges.

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