https://github.com/hneth/i2ds
Introduction to data science (i2ds)
https://github.com/hneth/i2ds
data-science education r r-package
Last synced: about 1 year ago
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Introduction to data science (i2ds)
- Host: GitHub
- URL: https://github.com/hneth/i2ds
- Owner: hneth
- Created: 2020-10-02T09:43:19.000Z (almost 6 years ago)
- Default Branch: main
- Last Pushed: 2024-08-13T15:57:18.000Z (almost 2 years ago)
- Last Synced: 2024-08-13T19:08:07.863Z (almost 2 years ago)
- Topics: data-science, education, r, r-package
- Language: R
- Homepage:
- Size: 405 KB
- Stars: 4
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
Awesome Lists containing this project
README
---
bibliography: [./bib/ref.bib, ./bib/refpkg+.bib]
biblio-style: apalike
csl: ./csl/apa.csl
link-citations: yes
output: github_document
---
```{r preamble, include = FALSE}
## Packages: -----
library(rmarkdown)
library(knitr)
# library(rmdformats)
# library(tidyverse)
# library(here)
# Own packages:
library(unikn)
library(ds4psy)
## Housekeeping: -----
# here()
fileName <- "README.Rmd"
## Global options: -----
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
```
```{r define-URLs-i2ds-220408, echo = FALSE, eval = TRUE}
# URLs:
# (1) ds4psy: ------
url_ds4psy_book <- "https://bookdown.org/hneth/ds4psy/"
url_ds4psy_cran <- "https://CRAN.R-project.org/package=ds4psy"
# ds4psy course in Fall 2020:
# Data Science for Psychologists | PSY-15150
# 02.11.2020 - 08.02.2021
# weekly on Mon 15:15 - 16:45
# Room R 513/online
url_ds4psy_ilias <- "https://ilias.uni-konstanz.de/ilias/goto_ilias_uni_crs_1077327.html" # ds4psy
url_ds4psy_zeus <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=5101&periodId=181"
# ds4psy course in Summer 2021:
# Data Science for Psychologists | PSY-15150
# 12.04.2021 - 19.07.2021
# weekly on Mon 15:15 - 16:45 | online
url_ds4psy_ilias <- "https://ilias.uni-konstanz.de/ilias/goto_ilias_uni_crs_1173220.html" # ds4psy
url_ds4psy_zeus <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=5101&periodId=555"
# i2ds course in Fall 2020:
# Introduction to Data Science 1: Foundations (using R, ADILT) | PSY-16620
# 05.11.2020 - 11.02.2021
# weekly on Thu 13:30 - 15:00 | Room C 336/online
# url_i2ds_ilias <- "https://ilias.uni-konstanz.de/ilias/goto_ilias_uni_crs_1077339.html"
# url_i2ds_zeus <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=86706&periodId=181"
# ds4psy course in Summer 2022:
# Data Science for Psychologists | PSY-15150
# 11.04.2022 - 18.07.2022
# weekly on Mon 13:30 - 15:00 | D430
url_ds4psy_ilias <- "https://ilias.uni-konstanz.de/goto.php?target=crs_1391467" # ds4psy ilias
url_ds4psy_zeus <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=5101&periodId=557&navigationPosition=hisinoneLehrorganisation,examEventOverviewOwn" # ds4psy ZEuS
# (2) i2ds: ------
url_i2ds_book <- "https://bookdown.org/hneth/i2ds/"
# i2ds_2 course in Summer 2021:
# Introduction to Data Science 2: Applications (using R, ADILT) | PSY-16710
# 15.04.2021 - 22.07.2024
# weekly on Thu 15:15 - 16:45 | online
# url_i2ds_ilias <- "https://ilias.uni-konstanz.de/ilias/goto_ilias_uni_crs_1179622.html"
# url_i2ds_zeus <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=93121&periodId=555"
# i2ds_2 course in Summer 2022:
# Introduction to Data Science 2: Applications (using R, ADILT) | PSY-16710
# 11.04.2022 - 18.07.2022
# weekly on Mon 15:15 - 16:45 | D430
url_i2ds_ilias <- "https://ilias.uni-konstanz.de/goto_ILIASKONSTANZ_crs_1392107.html" # i2ds_2 ilias
url_i2ds_zeus <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=93121&periodId=557&navigationPosition=hisinoneLehrorganisation,examEventOverviewOwn" # i2ds_2 ZEuS
# i2ds_1 course in Fall 2023/2024:
# Introduction to Data Science 1: Basics (using R, ADILT) | PSY-16620
# 23.10.2023 - 05.02.2024
# weekly on Mon 13:30 - 15:00 (14 sessions) | D435
# url_i2ds_ilias <- "https://ilias.uni-konstanz.de/goto.php?target=crs_1633875" # i2ds_1 ilias
# url_i2ds_zeus <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=86706&periodId=791" # i2ds_1 ZEuS
# i2ds_1 in Fall 2024/2025 | PSY-16620
# Di 13:30 - 15:00 | Room D430
url_i2ds_ilias <- "https://ilias.uni-konstanz.de/goto.php?target=crs_1788982" # i2ds_1 ilias
url_i2ds_zeus <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=86706&periodId=793" # i2ds_1 ZEuS
# i2ds_2 in Fall 2024/2025 | PSY-16710
# Blockveranstaltung 13:30-18:30 01.11.2024 | Room D247
# Blockveranstaltung + Sa und So 09:00-18:00 02.+03.11.2024 | Room F423
url_i2ds_2_ilias <- "https://ilias.uni-konstanz.de/goto.php?target=crs_1788994"
url_i2ds_2_zeus <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=93121&periodId=793"
# +++ here now +++: 2024 08 30
# (3) OTHER/OLDER URLs: ------
# ossd: ------
# SoSe 2023:
# Open Source Software Development in R (ADILT Applications)
# PSY-18040
# Tue: 13:30 - 15:00 | C426
url_ossd_ilias <- "https://ilias.uni-konstanz.de/goto_ILIASKONSTANZ_crs_1559797.html"
url_ossd_zeus <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=102164&periodId=790"
# SoSe 2020:
# url_ds4psy_ilias <- "https://ilias.uni-konstanz.de/ilias/goto_ilias_uni_crs_979923.html"
# url_ds4psy_zeus <- "https://zeus.uni-konstanz.de:443/hioserver/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=5101&periodId=173"
# # Other:
url_ds4psy_rpository <- "http://rpository.com/ds4psy/" # Syllabus
# ADILT:
url_ADILT <- "https://www.uni-konstanz.de/adilt/"
url_ADILT_en <- "https://www.uni-konstanz.de/en/adilt/"
# Other course-related variables:
ds_project_due <- lubridate::ymd("2025-02-28")
frm_ds_deadline <- "%A, %B %e, %Y"
# format(ds_project_due, frm_ds_deadline)
```
# Introduction to Data Science (i2ds)
The R package **i2ds** supports the course **Introduction to Data Science (using R, ADILT)** at the [University of Konstanz](https://www.uni-konstanz.de/en/).
## Description
The **i2ds** package provides datasets and functions used in the examples and exercises of the book **[Introduction to Data Science](`r url_i2ds_book`)** (by Hansjoerg Neth, University of Konstanz, 2025), available at <`r url_i2ds_book`>.
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](https://www.uni-konstanz.de/en/) 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](https://www.uni-konstanz.de/en/)
by [Hansjörg Neth](https://neth.de) (, [SPDS](https://spds.uni-konstanz.de/), office D507).
* Fall/Winter 2024/2025: Mondays, 13:30--15:00, D430.
* Course management systems:
- [Ilias](`r url_i2ds_ilias`)
- [ZEuS](`r url_i2ds_zeus`)
* Course materials:
- Scripts at [Introduction to Data Science (i2ds)](https://bookdown.org/hneth/i2ds/) (at <`r url_i2ds_book`>)
- Ebook [Data Science for Psychologists](https://bookdown.org/hneth/ds4psy/) (at <`r url_ds4psy_book`>)
- R package [ds4psy](https://CRAN.R-project.org/package=ds4psy) (at <`r url_ds4psy_cran`>)
## Readings
The current version of the textbook [Introduction to Data Science](`r url_i2ds_book`) 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 <`r url_i2ds_book`>.
Additionally, we will be using several chapters from the textbook [-@ds4psyBook]:
- 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 <`r url_ds4psy_book`>.
The URL of the supporting R package **ds4psy** [-@R-ds4psy] is <`r url_ds4psy_cran`>.
Chapters from the following textbooks [@mdsr; @JamesEtAl2021] 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 .
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2021).
_An introduction to statistical learning_ (2nd edition).
Springer, New York, NY.
Available at .
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](`r url_i2ds_ilias`).
For all other questions, contact Hansjörg Neth (h dot neth at uni dot kn).
-----
[File `README.md` updated `r format(Sys.time(), "%Y-%m-%d")` by [hn](https://neth.de).]
# References