University at Buffalo 3 credits Counseling, School & Ed Psych
This course provides a comprehensive introduction to the application of data science in educational contexts, emphasizing the use of clustering analysis. Students will gain hands-on experience with Python, Jupyter Notebooks, and machine learning algorithms to analyze educational data and derive meaningful insights. The course is designed to equip students with the necessary skills to handle real-world educational datasets, focusing on data preprocessing, supervised and unsupervised learning, and the application of clustering techniques to understand student behavior and learning styles.
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