Descriptive Healthcare Analytics in R
Advance Your Data Science Skills in Health Sciences,
Analyze behavior and risk using R, the open-source statistical computing software. R provides an environment and a language you can use to analyze data, including the publicly available Behavioral Risk Factor Surveillance Survey (BRFSS) dataset. This course teaches core healthcare data science skills, including epidemiology, as well as how to perform a cross-sectional analysis, set up a data dictionary, develop metadata, determine confounders, apply exclusions, create diagrams, generate continuous and categorical outcome variables, and more. Join biotech expert and epidemiologist Monika Wahi as she first discusses design and ethical considerations, and then takes you through the steps of conducting a descriptive analysis.
Contents:
- Introduction
- 1. What Is the BRFSS?
- 2. Designing Your Metadata
- 3. Reading in Data and Applying Exclusions
- 4. Preparing for Descriptive Analysis
- 5. Conducting Descriptive Analysis
- 6. Descriptive Analysis: Weights and Tests
- Conclusion
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| Rating | Not enough ratings |
|---|---|
| Length | 4h 15m |
| Starts | On Demand (Start anytime) |
| Cost | $29/month (Access to entire library- free trial available) |
| From | LinkedIn Learning |
| Instructor | Monika Wahi |
| Download Videos | Only via the LinkedIn Learning mobile app |
| Language | English |
| Subjects | Data Science IT & Networking Programming |
| Tags | Data Analysis IT Big Data R Data Modeling Healthcare Analytics R (Programming Language) |
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| Rating | Not enough ratings |
|---|---|
| Length | 4h 15m |
| Starts | On Demand (Start anytime) |
| Cost | $29/month (Access to entire library- free trial available) |
| From | LinkedIn Learning |
| Instructor | Monika Wahi |
| Download Videos | Only via the LinkedIn Learning mobile app |
| Language | English |
| Subjects | Data Science IT & Networking Programming |
| Tags | Data Analysis IT Big Data R Data Modeling Healthcare Analytics R (Programming Language) |
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