https://github.com/jokroese/kroese-data-science-masters
A language-agnostic data science intro, with a focus on applications to visualisation and data journalism.
https://github.com/jokroese/kroese-data-science-masters
course data-science journalism visualization
Last synced: 10 days ago
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A language-agnostic data science intro, with a focus on applications to visualisation and data journalism.
- Host: GitHub
- URL: https://github.com/jokroese/kroese-data-science-masters
- Owner: jokroese
- Created: 2018-09-26T18:27:58.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2018-10-08T21:44:00.000Z (about 7 years ago)
- Last Synced: 2025-03-04T16:48:24.144Z (8 months ago)
- Topics: course, data-science, journalism, visualization
- Homepage: https://joekroese.com/kroese-data-science-masters/
- Size: 5.86 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Kroese Data Science Masters
Inspired by [Open Source Data Science Masters](http://datasciencemasters.org/).
Differences:
- More language-agnostic between R and Python.
- Focus on books over videos.
- Larger focus on visualisation and applications in journalism
## Learning the Languages
### R
[Quick start R Tutorial](http://r-statistics.co/R-Tutorial.html)
[R For Data Science](http://r4ds.had.co.nz/)
[Data Manipulation]
[Advanced R](http://adv-r.had.co.nz/)
[More in-depth R- Software Development Side](https://bookdown.org/rdpeng/RProgDA/)
### Python
[Python](https://www.codecademy.com/learn/learn-python)
### Statistics
[An Introduction to Statistical Learning with Applications in R](https://www.worldcat.org/title/introduction-to-statistical-learning-with-applications-in-r/oclc/1005701164&referer=brief_results)
## Data Processing
[From ASCII to Answers: Advanced Topics in Data Processing](http://db.csail.mit.edu/6.885/)
## Data Visualisation
### Theoretical
* Visualizing Data [Cleveland](https://www.worldcat.org/title/visualizing-data/oclc/607634013&referer=brief_results)
* Envisioning Information [Tufte / Book ```$36```](https://www.worldcat.org/title/envisioning-information/oclc/1015670579)
* The Visual Display of Quantitative Information [Tufte / Book ```$27```](https://www.worldcat.org/title/visual-display-of-quantitative-information/oclc/971449485&referer=brief_results)
* The Design of Everyday Things [Norman](http://www.worldcat.org/title/design-of-everyday-things-revised-and-expanded-edition/oclc/862103168)
### Applied
* [Interactive Data Visualization for the Web](http://explore.safaribooksonline.com/book/databases/business-intelligence/9781491921296)
* [Data Visualisation: A Handbook for Data Driven Design](http://www.worldcat.org/title/data-visualisation-a-handbook-for-data-driven-design/oclc/896787455?loc=)
* [Data Visualization course at University of Washington](https://courses.cs.washington.edu/courses/cse512/18sp/)
#### ggplot
http://r-statistics.co/ggplot2-Tutorial-With-R.html
[ggplot2: elegant graphics for data analysis](https://www.worldcat.org/title/ggplot2-elegant-graphics-for-data-analysis/oclc/946770597&referer=brief_results)
#### d3.js
[d3's own tutorials](https://github.com/d3/d3/wiki/Tutorials)
#### Other's Reading Lists
[Warwick's Visualisation course](https://warwick.ac.uk/fac/cross_fac/cim/apply-to-study/cross-disciplinary-postgraduate-modules/im921-visualisation)
[StackExchange answer](https://stats.stackexchange.com/questions/261752/whats-a-good-book-or-reference-for-data-visualization)
## Applications in Data Journalism
[Data Journalism Handbook](http://datajournalismhandbook.org/)
[Interactive Data Journalism course](https://source.opennews.org/articles/interactive-data-journalism-one-semester/)
## Sandpits
[jsfiddle](http://jsfiddle.net/)
[Carto](https://carto.com/)
jupyter notebooks
## Blogs
[Flowing Data](https://flowingdata.com/)
## Syllabus References
[Open Source Data Science Masters](http://datasciencemasters.org/)
[NYU Introduction to Data Science](https://github.com/briandalessandro/DataScienceCourse/blob/master/ipython/references/Syllabus_2018.pdf)
[Curriculum via. Metromap](http://nirvacana.com/thoughts/2013/07/08/becoming-a-data-scientist/) though a little outdated (2013)