LearnFlat · Foundations & Lifelong Academics · Critical Thinking & Logic

Scientific & Statistical Reasoning

Learn to apply critical thinking principles to scientific claims and statistical data. Understand concepts like correlation vs. causation, sample size, and statistical significance to avoid being misled by data.

Scientific & Statistical Reasoning

Causal Inference and DAGs in R

Calculating and Interpreting Effect Sizes: d and r Families

How to Read Medical Research: Evaluate Health Claims and Spot Bad Science

Evidence-Based Healthcare: Evaluating Medical Research and Claims

Understanding Statistical Inference and Experimental Design

Practical Causal Inference for Data Analysis

Demystifying Forensic Science: Evidence, Limits, and the Courtroom

Evaluating Evidence: A Guide to Science Literacy

Statistical Hypothesis Testing: A Simplified, Example-Based Guide

Causal Diagrams for Data Analysis and Study Design

Data to Knowledge: Scientific Methods for Critical Thinking

Causal Inference Fundamentals: Understanding Cause and Effect in Data

Statistical Inference and Modeling for High-Throughput Data

Introduction to Causal Inference: Understanding Cause and Effect in Data

Causal Inference Project Ideation and Design

Causal Data Science: Making Decisions Over Time

Infrared Spectroscopy: Systematic Spectra Interpretation

Null Hypothesis Significance Testing and z-Tests for Beginners

Introduction to t-Tests: Hypothesis Testing for Analyzing Means

Practical Causal Inference: From Correlation to Causation

Real-time Data Science Decisions

Minitab: Applied Statistics and Hypothesis Testing

Foundations of Research Methodology

Medical Research and Biostatistics Fundamentals