About this Course

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Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
100% online
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Coursera Labs
Includes hands on learning projects.
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Intermediate Level

Basic experience of data science tools, either R or Python, and have experience in using version control tools, ideally Git.

Approx. 11 hours to complete
English

Skills you will gain

  • Github
  • Agile Software Development
  • R Programming
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level

Basic experience of data science tools, either R or Python, and have experience in using version control tools, ideally Git.

Approx. 11 hours to complete
English

Offered by

Placeholder

Genentech

Syllabus - What you will learn from this course

Week1
Week 1
1 hour to complete

Making Data Science work for clinical reporting

1 hour to complete
4 videos (Total 14 min), 1 reading, 1 quiz
2 hours to complete

The burden of being faultless and transparent

2 hours to complete
23 videos (Total 46 min), 2 readings, 1 quiz
Week2
Week 2
2 hours to complete

Bringing DevOps practices and agile mindset to clinical reporting

2 hours to complete
9 videos (Total 63 min), 1 reading, 2 quizzes
2 hours to complete

Version control and git flows for reproducible clinical reporting

2 hours to complete
18 videos (Total 59 min), 1 reading, 1 quiz
Week3
Week 3
3 hours to complete

Making code reusable and robust in clinical reporting — a call for InnerSourcing

3 hours to complete
16 videos (Total 71 min), 3 readings, 1 quiz
Week4
Week 4
2 hours to complete

Assessing and managing risk

2 hours to complete
5 videos (Total 34 min)
5 minutes to complete

Conclusion

5 minutes to complete
1 video (Total 5 min)

Frequently Asked Questions

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