YoVDO

11 Useful Tips for Regression Analysis

Offered By: LinkedIn Learning

Tags

Regression Analysis Courses Forecasting Courses Causal Inference Courses

Course Description

Overview

Move past the basics of regression analysis and learn how to build models for prediction and forecasting, and for inferring causal relationships between variables.

Syllabus

Introduction
  • Diving deeper into regression models
  • What you should know
1. Regression Tips and Tricks
  • Weighted regression
  • Factor variables
  • Polynomial variables
  • Fractional variables
  • Model proportions
  • Centering
  • Missing data
  • Standardized estimates
  • Graph estimates
  • Contour plots
  • Animate results

Taught by

Franz Buscha

Related Courses

Data Science in Real Life
Johns Hopkins University via Coursera A Crash Course in Causality: Inferring Causal Effects from Observational Data
University of Pennsylvania via Coursera Causal Diagrams: Draw Your Assumptions Before Your Conclusions
Harvard University via edX Causal Inference
Columbia University via Coursera Causal Inference 2
Columbia University via Coursera