Which is easy data analyst or software developer?
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| Papers (10) | Insight |
|---|---|
267 Citations | The chapter recommends that a serious data analyst be conversant with as broad a range of data analysis techniques and programs as possible and be aware of the assumptions on which the techniques are based. |
11 Sep 2013 8 Citations | The assistor not only promises the relief of a data analyst from computation errands but also contributes to the correct application of statistical methods. |
| Moreover, it is easy to be implemented for the data analysis. | |
08 Nov 2020 | Our results show that software engineering questions for data scientists in the software-defined enterprise are largely similar to the software company, albeit with exceptions. |
| It was concluded that today data analyst functionality complements the skills and knowledge of accountants. | |
05 Oct 2020 13 Citations | The differences indicate that Data Science codebases are distinct from traditional software codebases and do not follow traditional software engineering conventions. |
12 Sep 2010 40 Citations | Our findings show that having strong logical reasoning and hypothesis testing skills are differentiating factors in the software developer/tester performance in terms of defect rates. |
| The flexibility desired in a good scientist is equally desirable in a good data analyst. | |
16 Citations | Our results suggest the role of an analyst is more valuable when the information environment is more uncertain. |
17 Sep 2012 12 Citations | Further, we show the benefit of integrating developer-related information from different data sources using some real-world scenarios. |
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