Linear Regression Models Courses and Certifications

Microcredential

Business Statistics and Analysis

12703 ratings at Coursera

Equip yourself with essential business data analysis tools, from spreadsheet functions to data modeling, probability concepts, and linear regression, culminating in a practical capstone project.

• Coursera
• 12 weeks, 10 hours a week
• On-Demand
• Paid Course
• 5 courses

Bayesian Regression Modeling with rstanarm

11 ratings at DataCamp

Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Generalized Linear Models and Nonparametric Regression

21 ratings at Coursera

Explore advanced statistical modeling tools including GLMs, nonparametric regression, and GAMs. Learn to apply these techniques for classification, data analysis, and ethical decision-making in data science.

• Coursera
• 1 day 18 hours 4 minutes
• On-Demand
• Paid Course

Coursera

Building Statistical Models in R: Linear Regression

20 ratings at Coursera

Learn to build and interpret linear regression models in R, from data exploration to multiple regression, with hands-on practice in model assessment and diagnostics.

• Coursera
• 2 hours 20 minutes
• On-Demand
• Paid Course

Building Regression Models with Linear Algebra

Learn to build and apply regression models using linear algebra, including least squares method and Python implementation. Gain practical skills for real-world data analysis and prediction.

• Coursera
• 6 hours 19 minutes
• On-Demand
• Paid Course

Linear Regression and Linear Models

Learn powerful statistical tools: linear regression and models. Predict continuous values using various data types. Covers least squares, multiple regression, t-tests, ANOVA, and R implementation.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

ANOVA and Experimental Design

19 ratings at Coursera

Explore ANOVA, ANCOVA, and experimental design for data science applications. Learn key concepts like randomization, blocking, and factorial design to conduct meaningful experiments and analyze results.

• Coursera
• 1 day 15 hours 57 minutes
• On-Demand
• Paid Course

Model Diagnostics and Remedial Measures

11 ratings at Coursera

Learn to diagnose and fix issues in regression models, including assumption violations, heteroscedasticity, autocorrelation, and multicollinearity. Gain skills in variable selection and model validation for data-driven industries.

• Coursera
• 19 hours 55 minutes
• On-Demand
• Paid Course

R Programming 101

Multiple Regression Analysis - From Simple Linear to Complex Models

Master multiple regression analysis in R, covering variable selection, confounding, collinearity, outliers, interactions, and assumption validation for robust statistical modeling.

• YouTube
• 2 hours 19 minutes
• On-Demand
• Free Video

Pascal Poupart

Logistic Regression and Generalized Linear Models

Explore exponential family models, logistic regression, and Newton's method for classification tasks, with applications in app recommendation and sparse data analysis.

• YouTube
• 1 hour 35 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Instrumental Variable Estimation for Multiple Linear Regression Models - Part IV

Explore IV techniques for MLRM, generalized MLRM, multiple instruments, and endogenous variables in econometric modeling.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Understanding and Misunderstanding Models - From Linear Regression to Complex Systems

Explore the complexities of scientific modeling, from linear regression to complex systems, examining different levels of understanding and the challenges of explanation in scientific communication.

• YouTube
• 52 minutes
• On-Demand
• Free Video

UofU Data Science

Generalized Linear Models and Linear Regression - Lecture 11

Dive into advanced statistical concepts including generalized linear models, nonlinear basis functions, and regularization techniques for robust data analysis and point estimation.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

Dyalog User Meetings

Taming Regression Using APL - From Basic Linear Models to Advanced Applications

Master statistical regression techniques using APL through practical examples, from basic linear models to advanced non-linear and logistic regression, with hands-on demonstrations using TamStat software.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Business Statistics

This course will introduce you to business statistics, or the application of statistics in the workplace. Statistics is a course in the methods for gathering, analyzing, and interpreting data.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course