Stats & Analytics Primer
Welcome to Stats & Analytics Primer!
Dive into the world of Statistics, Data Analytics, and Machine Learning. Here you will find videos that cover from foundational concepts to advanced techniques. Whether you are just starting out or aiming to deepen your expertise in any of these three areas, you will find clear, practical explanations and hands-on examples using R and Python.
Bar Charts with ggplot() from the tidyverse.
Polynomial Regression | Python Machine Learning with Scikit-Learn
Random Forest Regression | Python Machine Learning with Scikit-Learn
Lasso Regression Explained | Python Machine Learning with Scikit-Learn
Multiple Linear Regression in R: Choosing Predictors with Best Subset Selection
Correlation Analysis in R
Data Wrangling with the Tidyverse (video 4): splitting a column into two new ones using mutate().
Data Wrangling with the Tidyverse (video 3): mutate and case_when.
Data Wrangling with the Tidyverse (video 2): mutate, if_else, and str_detect.
Data Wrangling with the Tidyverse (video 1): filter, count, and mutate.
Two-Way ANOVA in R – Post-Hoc - Significant Interaction
Two-Way ANOVA in R – Post-Hoc - Non-Significant Interaction
Bonferroni Post Hoc Test in R – Understand the Logic
Chi-Square Test of Independence in R
Part 2: t-test in R – How to Test for Practical Significance
Part 1: t-test in R – How to Test for Statistical Significance