FeaturedUdemy
edXHealthcare Data Analytics Toolkit
511 studentsBEGINNEREnglish
Korshub's take
Healthcare organizations drowning in data need analysts who can extract insight. This course teaches the statistical and computational foundations: statistical concepts (distributions, variance), data wrangling with R, and the hypothesis tests (t-tests, ANOVA) and regression models that turn raw data into actionable findings. You'll also learn to communicate complex results clearly—the skill that separates analysts from decision-makers.
About this course
Master fundamental statistical concepts and visualizations, including distributions, mean, median, variance, and creating histograms and boxplots. ,Gain proficiency in data wrangling using R, including loading, transforming, and summarizing healthcare data. ,Learn to apply and interpret t-tests, ANOVA, and hypothesis testing for insightful healthcare data analysis. ,Develop skills in implementing and interpreting linear and logistic regression models and using dummy variables in regressions. ,Enhance your ability to effectively communicate complex analytical results in a clear and simple manner.
Price
$1,236
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