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LinkedIn Learning

Advance Your Data Science Skills in Health Sciences

via LinkedIn Learning Path

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Overview

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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

Courses under this program:
Course 1: Data Science Foundations: Python Scientific Stack
-Learn how to use the Python scientific stack to solve problems and complete common data science tasks.

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.

Courses

Taught by

Miki Tebeka and Monika Wahi

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