Introduction to Data Science (i2ds)

The R package i2ds supports the course Introduction to Data Science (using R, ADILT) at the University of Konstanz.

Description

The i2ds package provides datasets and functions used in the examples and exercises of the book Introduction to Data Science (by Hansjoerg Neth, University of Konstanz, 2025), available at https://bookdown.org/hneth/i2ds/. This book provides a gentle introduction to data science for students of any discipline with little or no background in data analysis or computer programming. Based on notions of representation, measurement, and modeling, we examine key data types (e.g., logicals, numbers, text) and learn to clean, summarize, transform, and visualize (rectangular) data.

Rather than promoting the latest technologies, we focus on the general goals and principles of data analysis. Reflecting on issues of design and asking why some tool is suited to tackle some task prevents us from getting stuck in niches and prepares us for a world in which many software frameworks can continue to evolve.

By reflecting on the relations between representations, tasks, and tools, the course promotes data literacy and cultivates reproducible research practices that precede and enable practical uses of programming or statistics.

Please note

This book is still being written and revised. It currently serves as a scaffold for a curriculum that is filled with content as we go along.

Current course

The latest course Introduction to Data Science (using R, ADILT) takes place at the University of Konstanz in 2024/2025. However, as all course materials are freely available online, anyone interested in this topic is welcome to read and learn from these materials.

Coordinates

Introduction to data science (ADILT, i2ds) (PSY-16620) at the University of Konstanz by Hansjörg Neth (h.neth@uni.kn, SPDS, office D507).

Fall/Winter 2024/2025: Mondays, 13:30–15:00, D430.
Course management systems:
- Ilias
- ZEuS

Course materials:
- Scripts at Introduction to Data Science (i2ds) (at https://bookdown.org/hneth/i2ds/)
- Ebook Data Science for Psychologists (at https://bookdown.org/hneth/ds4psy/)
- R package ds4psy (at https://CRAN.R-project.org/package=ds4psy)

Readings

The current version of the textbook Introduction to Data Science is:

Neth, H. (forthcoming). i2ds: Introduction to Data Science.
Social Psychology and Decision Sciences, University of Konstanz, Germany.
Textbook (version 0.0.5, 2025).
Available at https://bookdown.org/hneth/i2ds/.

Additionally, we will be using several chapters from the textbook (2023a):

Neth, H. (2023). ds4psy: Data Science for Psychologists.
Social Psychology and Decision Sciences, University of Konstanz, Germany.
Textbook and R package (version 1.0.0, September 15, 2023).
Available at https://bookdown.org/hneth/ds4psy/.

The URL of the supporting R package ds4psy (2023b) is https://CRAN.R-project.org/package=ds4psy.

Chapters from the following textbooks (Baumer, Kaplan, & Horton, 2021; James, Witten, Hastie, & Tibshirani, 2021) are used for individual topics:

Baumer, B. S., Kaplan, D. T., & Horton, N. J. (2021).
Modern Data Science with R (2nd ed.).
CRC Press, Taylor & Francis Group, Boca Raton/London/New York.
Available at https://mdsr-book.github.io/mdsr2e/.
James, G., Witten, D., Hastie, T., & Tibshirani, R. (2021).
An introduction to statistical learning (2nd edition). Springer, New York, NY.
Available at https://www.statlearning.com.

Additional details or readings may be announced if they are needed for individual sessions.

License

Introduction to Data Science (i2ds) by Hansjörg Neth is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Contact

Please ask any question that may also be of interest to other course members in the Discussion Forum on Ilias.

For all other questions, contact Hansjörg Neth (h dot neth at uni dot kn).

[File README.md updated 2025-01-12 by hn.]

References

Baumer, B. S., Kaplan, D. T., & Horton, N. J. (2021). Modern Data Science with R (2nd ed.). Retrieved from https://mdsr-book.github.io/mdsr2e/

James, G., Witten, D., Hastie, T., & Tibshirani, R. (2021). An introduction to statistical learning with applications in R (2nd edition). Retrieved from https://www.statlearning.com/

Neth, H. (2023a). Data science for psychologists. https://doi.org/10.5281/zenodo.7229812

Neth, H. (2023b). ds4psy: Data science for psychologists. https://doi.org/10.5281/zenodo.7229812

hneth/i2ds

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