Genentech Courses

Data Science in Health Technology Assessment

28 ratings at Coursera

Learn the economic evaluation methods behind payer reimbursement decisions: comparators, perspectives and discounting, quality-of-life measurement and QALYs, and decision modelling with sensitivity analysis.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Data Sciences in Pharma - Patient Centered Outcomes Research

24 ratings at Coursera

Learn how clinical outcome assessments and patient experience data are selected, developed, validated and interpreted in clinical trials, using qualitative research, psychometrics and PRO-CTCAE tolerability measures.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Hands On Clinical Reporting Using R

19 ratings at Coursera

Learn to run the clinical data flow in R: map CRF and non-CRF data to SDTM, build ADaM datasets with admiral, and produce TLGs and teal apps.

• Coursera
• 8 weeks, 3 hours a week
• Self-Paced
• Paid Course

Data Science with Real World Data in Pharma

15 ratings at Coursera

Learn to generate real-world evidence for drug development: weigh real-world data sources, identify bias, design observational studies, and run one on synthetic data.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Making Data Science Work for Clinical Reporting

12 ratings at Coursera

Apply data science practices to clinical trial reporting: git version control, reproducible R projects, R package development, CI/CD workflows, InnerSourcing, and codebase risk assessment.

• Coursera
• 7 weeks, 2 hours a week
• Self-Paced
• Paid Course