Open learning, with careful explanations
About Pandas, Clearly
A free course and practical reference, developed by Dr. Ali Al Bataineh.
How to cite this course
If you use or adapt this course in teaching, research, or training, please cite:
Al Bataineh, A. (2026). Pandas, Clearly: Pandas for Data Science (Version 1.0.0). GitHub. https://github.com/aalbata/pandas-clearly.
@misc{albataineh2026pandasclearly,
author = {Al Bataineh, Ali},
title = {Pandas, Clearly: Pandas for Data Science},
year = {2026},
version = {1.0.0},
url = {https://github.com/aalbata/pandas-clearly}
}Download CITATION.cff · Report a correction · Author ORCID
What progress means
Exploring a page, answering a concept question, passing a guided code check, and solving an independent task are different achievements. The course uses questions and an assessment rubric to help you examine understanding, without claiming that completion proves mastery of every pandas feature.
Use and adaptation
Original course code and teaching material are provided under the MIT license. Public datasets and bundled runtime files retain their own licenses. See sources and licenses.