Making Data Science Work for Clinical Reporting
Instructors: Dinakar Kulkarni +6 more
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Skills you'll gain
There are 7 modules in this course
By the end of the course, learners will understand what requirements there are in reporting clinical trials, and how they impact on how data science is used. The learner will see how they can work efficiently and effectively while still ensuring that they meet the needed standards.
The burden of being faultless and transparent
Bringing DevOps practices and agile mindset to clinical reporting
Version control and git flows for reproducible clinical reporting
Making code reusable and robust in clinical reporting — a call for InnerSourcing
Assessing and managing risk
Conclusion
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