# Teaching Data Science

arXiv: https://arxiv.org/abs/1604.07397 · HTML: https://mlsanity.com/paper/1604.07397/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 Apr 2016.

## Built on by (most cited first, 2 of 2)

- [An Experience Report of Executive-Level Artificial Intelligence Education in the United Arab Emirates](https://mlsanity.com/paper/2202.01281/) (2022)
- [Behavior Matters: An Alternative Perspective on Promoting Responsible Data Science](https://mlsanity.com/paper/2410.17273/) (2024)

## Abstract (arXiv)

We describe an introductory data science course, entitled Introduction to Data Science, offered at the University of Illinois at Urbana-Champaign. The course introduced general programming concepts by using the Python programming language with an emphasis on data preparation, processing, and presentation. The course had no prerequisites, and students were not expected to have any programming experience. This introductory course was designed to cover a wide range of topics, from the nature of data, to storage, to visualization, to probability and statistical analysis, to cloud and high performance computing, without becoming overly focused on any one subject. We conclude this article with a discussion of lessons learned and our plans to develop new data science courses.