Statistics and data literacy for non-statisticians

Description

In this course, you will learn :

• Important statistics terms
• Detailed explanations of the most important statistical methods.

Syllabus :

1. Data and data visualizations

• Types of data: categorical, numeric, etc
• Populations, samples, case reports, and anecdotes
• Visualizing data
• Measures of central tendency (mean, median, mode)
• Measures of dispersion (variance, standard deviation)
• Data normalizations

 

2. Probability theory

• What is probability?
• Probability distributions
• Sampling variability, noise, and other annoyances

 

3. Hypothesis testing

• IVs, DVs, models, and hypotheses
• P-values
• What are outliers and why are they dangerous?
• Statistical vs. theoretical vs. clinical significance

 

4. Common statistical tests

• T-test
• Correlation
• Analysis of Variance (ANOVA)
• Regression

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