Back to: Data Science for Doctors
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This video series is geared towards all the health professionals who want to have an understanding of data analytics. The aim is to alleviate the fear of numbers and to make you self-sufficient for your own research projects.
This course comprises of four modules:
1. A dummy’s guide to analytics and statistics (Exp in SPSS)
2. R for Doctors
3. A to Z of Approaching an analytics project
4. Capstone project: Practical example of a full project on R
Each module is further structured as:
This is Module 1: A dummy’s guide to analytics and you are watching
B. Basic Tests (Exp in SPSS)
1. Core concepts of tabulation
2. Uni, Bi or Multivariate Tests (Intro)
3. Choosing the appropriate outcome
4. Bivariate tests for Continuous outcomes
5. Bivariate tests for Categorical outcomes
6. Examples in SPSS:
a. T-Tests (paired and unpaired)
b. Some Fancy tests (Mann-Whitney U & Wilcoxon signed-rank test)
c. Chi-square test
