
Developed foundational educational content for the INFO_7390_Art_and_Science_of_Data repository by creating a Jupyter Notebook focused on causal inference. The work centered on expanding the Fall 2024 curriculum with a reusable, well-structured crash course notebook, designed to facilitate hands-on learning for students exploring causality concepts. Leveraging skills in data science, causal inference, and educational content creation, the developer ensured the material was clear, traceable, and ready for onboarding and instructional use. No bug fixes were required during this period, as the primary focus remained on curriculum enhancement and delivering a targeted resource to support teaching in the upcoming semester.
December 2024: Delivered foundational educational content for the causality track by adding a new Jupyter Notebook (crash_course_casuality_Dipen_Patel.ipynb) to the Causal_Inference/Fall_2024 module. This strengthens the repository's Fall 2024 curriculum and provides hands-on learning material for students. No major bugs reported this month; all work focused on content creation and curriculum expansion. The change is well-scoped and ready for onboarding and teaching use.
December 2024: Delivered foundational educational content for the causality track by adding a new Jupyter Notebook (crash_course_casuality_Dipen_Patel.ipynb) to the Causal_Inference/Fall_2024 module. This strengthens the repository's Fall 2024 curriculum and provides hands-on learning material for students. No major bugs reported this month; all work focused on content creation and curriculum expansion. The change is well-scoped and ready for onboarding and teaching use.

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