What Is a Correlation Analysis? a Practical Guide
17 min read
Learn what is a correlation analysis, from Pearson vs. Spearman to interpreting p-values. A practical guide for analysts on how to avoid common pitfalls.
Resources
Guides and articles on AI data analysis, agentic analytics, and getting more out of your data.
Natural Programming Languages: Agentic Analytics for Data
15 min read
Explore natural programming languages, from concepts to modern tools. See how agentic analytics offers a practical, reproducible alternative for data
What Is on Premise: Cloud vs. Local Data in 2026
17 min read
Discover what is on premise for data analytics. Compare on-prem vs. cloud, explore costs, security, and modern local tools for 2026 insight.
A Guide to Regression Discontinuity Design in 2026
19 min read
Learn regression discontinuity design (RDD) from the ground up. This guide covers core concepts, sharp vs. fuzzy RDD, and how to perform a rigorous analysis.
Two Stage Least Squares: A Practical Guide for Analysts
18 min read
Master Two Stage Least Squares (2SLS) with this practical guide. Learn the intuition, assumptions, diagnostic tests, and implementation in Python/R.
Effect Size Interpretation: Guide to Meaningful Analysis
18 min read
Master effect size interpretation beyond benchmarks. Explore Cohen's d, Pearson's r, & contextual analysis for meaningful results in 2026.
Data Governance Software: A Comprehensive Guide 2026
20 min read
Explore data governance software: understand core components, selection criteria, and how to balance data control with analyst enablement.
Mastering Natural Language in Programming for 2026
17 min read
Master natural language in programming for 2026. Discover best practices, security, and tools for data analysts, from copilots to agentic analytics.
Inferential vs Descriptive Statistics: Which Do You Need?
17 min read
Master the difference between inferential vs descriptive statistics. Learn their goals, methods, and when to use each for rigorous, actionable analysis.
Data Quality Scorecard: A Complete Guide for Analysts
20 min read
Build a robust data quality scorecard. This guide explains key dimensions, scoring, metrics, and implementation with SQL/Python for reliable analysis.
Scenario Analysis: A Practical Guide for Analysts
18 min read
Learn to conduct robust scenario analysis. This guide covers key methods, data prep, model selection, and reporting workflows for analysts and data scientists.
Instrumental Variable Regression: A Practical Guide
16 min read
Learn instrumental variable regression essentials: intuition, 2SLS, diagnostics, and avoiding pitfalls. Your practical guide for 2026.