Introduction to Data Science for Education

Course content

Loading and wrangling of educational data. Techniques to explore and visualize educational data. Applying basics statistics on educational data. Machine learning models for education. Analyzing educational text data. Building stories from educational data. Automated reporting and dashboards. Ethics and privacy in educational data science. Python numpy, pandas, and scikit-learn libraries.