Overview of the math behind an Ordinary Least Squares method, and what is needed to be taken into consideration when fitting a regression line.

Literature review for the final project at 2020 International Youth Neuroscience Association Summer Course.

Overview of the power and the effect size of the test and why low p-value is not always enough to make a decision.

Introduction to the inference for a population proportion using binomial test and $\chi^2$ test for independence.

Basic concept of the NHST and the idea of p-value. Overview of the inference for a population mean using one/two-sample $t$-tests and ANOVA.

Overview of how classification and regression trees work behind the scenes using binary classification example.

Create interactive plots using plotly library in R.

Learn how you can update your prior beliefs using Bayes’s rule with the disease testing as an example.

Analysis of a survey among LGBT representatives in EU in 2012.

How to get maximum performance of your A/B test when you have any prior information about users.

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