Data Analysis for Life Sciences
Learn statistical analysis methods and R programming techniques specifically designed for biological research and genomic data interpretation.
Learn statistical analysis methods and R programming techniques specifically designed for biological research and genomic data interpretation.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Analysis for Life Sciences Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Master R programming for biological data analysis
Learn advanced statistical methods and linear models
Develop expertise in high-dimensional data analysis
Understand statistical inference techniques
Gain practical research analysis skills
Skills you'll gain
This course includes:
PreRecorded video
4 courses
Access on Mobile, Desktop, Tablet
FullTime access
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There are 4 courses in this program
Developing Generative AI Applications with Python
Course 1 · 6 Weeks to complete · 6 modules
Crash Course on Python
Course 2 · 32 Hours to complete · 5 modules
Equivalent Circuit Cell Model Simulation
Course 3 · 27 Hours to complete · 6 modules
Python Data Visualization with IBM
Course 4 · 5 Weeks to complete · 5 modules
Fee Structure
Payment options
Financial Aid
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