Of course. But I would argue that in Excel and SPSS it is easier to know, (roughly) what you are doing. There are just less options and you can usually follow a recipe. In e.g. R there is much more that can go wrong.
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To clarify, there are many PhD students in my lab some of which have BScs from our department and they code every day and well. In fact one of the best coders was an UG in this department and even published a paper in his final year — now doing a PhD without an MSc.
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Hmm so I guess the only way to improve coding skill in students, is to give more coding projects? Then they are forced to learn?
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