Advance Your Data Science Skills in Health Sciences
Build extensive data science modeling and analysis skills for working with scientific research concepts. In this learning path, discover the tools of the trade, and learn how to apply what you learn in real-world data project environments and platforms.
Build a solid skill set using Python in healthcare research.
Explore commonly-needed skills and analytic techniques using R.
Develop advanced skills in designing healthcare studies.
Data Science Foundations: Python Scientific Stack with Miki Tebeka
Learn how to use the Python scientific stack to complete data science tasks. Find out how to work with pandas for data crunching, NumPy for numeric computation, and more.
3h 34m • COURSE
Descriptive Healthcare Analytics in R with Monika Wahi
Learn how to conduct a descriptive analysis of healthcare datasets using R by analyzing the Behavioral Risk Factor Surveillance System (BRFSS), a public health surveillance survey. This course teaches you to independently design, develop, and execute a full BRFSS analysis.
4h 15m • COURSE
Healthcare Analytics: Regression in R with Monika Wahi
Learn how to perform linear regression modeling and logistic regression modeling using R. This course shows how to prepare, develop, and finalize models using the forward stepwise modeling process.
4h 2m • COURSE
You'll learn data science skills with these experts
Miki Tebeka is the CEO at 353Solutions.
Monika Wahi is a data science and biotech expert skilled in research and analyzing healthcare data.
Monika Wahi is the cofounder of Vasanta Health Science where she serves as the acting chief science officer and chief financial officer. She specializes in epidemiology, informatics, and biostatistics, and is proficient in SAS, R, Excel, and SQL. She also serves as the president of DethWench Professional Services and as a lecturer, teaching statistics at Labouré College in Milton, Massachusetts.