Statistics Foundations
Core ideas of probability, hypothesis testing, regression and statistical inference
Coming soon
DataFan · Pillar
Data Analysis
Answer research questions with data — from description to causal identification
Answer research questions with data — from description to causal identification
Core ideas of probability, hypothesis testing, regression and statistical inference
Causal inference methods: DID, IV, RDD, panel data, synthetic control
PCA, factor analysis, clustering, discriminant analysis and more
Data wrangling with tidyverse, visualization with ggplot2, hands-on modeling