Recently, the @easystats.bsky.social team (a mix of academics and former academics) discussed the challenges faced by those transitioning from #psychology #academia to data-related jobs, as well as some advantages they have that they might not be aware of.
Here's what we came up with ๐งต:
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Here's what we came up with ๐งต:
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Comments
๐ฏ ๐๐๐๐ฒ๐ป๐๐ถ๐ฎ๐น ๐๐ฒ๐ฐ๐ต๐ป๐ถ๐ฐ๐ฎ๐น ๐๐ธ๐ถ๐น๐น๐: Proficiency in SQL and programming are crucial. Fortunately SQL is easy to learn! For programming, Python is king, but R is valuable in certain industries/jobs (& transitioning between languages is easier than knowing none).
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๐ช ๐ฆ๐๐ฟ๐ผ๐ป๐ด ๐ฟ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต ๐ฎ๐ป๐ฑ ๐ฎ๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ฎ๐น ๐๐ธ๐ถ๐น๐น๐: Academics' (and especially psychologists') training in research methods and statistics provides a solid foundation for data analysis and research roles.
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