Open learning, with careful explanations

About Pandas, Clearly

A free course and practical reference, developed by Dr. Ali Al Bataineh.

Dr. Ali Al BatainehComputer Information ScienceHigher Colleges of Technology, Ras Al Khaimah, United Arab Emirates

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}
}

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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.