LinkedIn Learning
Free Trial Available
English
Certificate Available
12 hours worth of material
selfpaced
Overview
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.
Syllabus
- Course 1: Data Science Foundations: Python Scientific Stack
- 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.
- Course 2: Descriptive Healthcare Analytics in R
- Learn how to conduct a full analysis of healthcare datasets using R by analyzing the Behavioral Risk Factor Surveillance System (BRFSS), a public health surveillance survey.
- Course 3: Healthcare Analytics: Regression in R
- Discover linear regression modeling and logistic regression modeling using R. Learn about how to prepare, develop, and finalize models using the forward stepwise modeling process.
Taught by
Miki Tebeka, Monika Wahi and Monika Wahi
