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title: "User Development" | ||
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## How do you transform the traditional Statistical Programmer into the future Data Scientist? | ||
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The traditional Statistical Programmer/Analyst in pharmaceutical and vaccine development primarily fulfills their role using the SAS programming language to develop single-use scripts that read in data and create an output dataset or analysis display. | ||
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Many Data Scientists are: | ||
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- programmatically multilingual | ||
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- leverage open source tools | ||
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- are familiar with object-oriented languages | ||
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- develop code collaboratively with platforms such as GitHub | ||
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- version control code with technologies such as git | ||
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- are comfortable having code reviewed for functionality and good programming practice | ||
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- are familiar with good software development practices | ||
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- are familiar and comfortable with agile ways of working | ||
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How will we transform the traditional Statistical Programmer into the future Data Scientist? | ||
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## How to Contribute | ||
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Contribute to the discussion here in GitHub Discussions:\ | ||
[How do you transform the traditional Statistical Programmer into the future Data Scientist?](https://github.com/phuse-org/OSTCDA/discussions/10-){target="_blank"} | ||
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## Guidance | ||
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- Provide your thoughts and perspectives | ||
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- Provide references to articles, webinars, presentations (citations, links) | ||
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- Be respectful in this community |