Regression Models Courses and Certifications

Coursera

Predict and Validate Regression Models in R

Master building and validating multiple linear regression models in R, using residual plots for diagnostics and k-fold cross-validation to ensure reliable, generalizable predictions for real-world business decisions.

• Coursera
• 2 hours 25 minutes
• Self-Paced
• Paid Course

EDUCBA

Logistic Regression with SAS: Build & Evaluate Models

Master logistic regression in SAS through hands-on model building, feature engineering, and performance evaluation for real-world classification problems.

• Coursera
• 8 hours 38 minutes
• Self-Paced
• Paid Course

Commonly Used Biostatistical Methods for Analysing Longitudinal Data in Health Research

Use linear, logistic, Poisson and its variants regressions in the context of longitudinal studies in health, statistics and medical research.

• OpenLearning
• 24 hours
• Self-Paced
• Paid Course

statisticsmatt

General Linear Models - Regression

Comprehensive exploration of linear regression models, covering simple and multiple regression techniques, statistical inference, model diagnostics, and advanced topics for in-depth statistical analysis.

• YouTube
• 17 hours
• Self-Paced
• Free Video

Career Certificate

Python Machine Learning

Master machine learning fundamentals through hands-on Python programming, covering regression, classification, decision trees, and ensemble methods to solve real-world data problems.

• VDCI
• 30 hours
• Self-Paced
• $1,895.00

Supervised Machine Learning

This practical course is designed for individuals who utilise data to make informed decisions and wish to enhance their decision-making skills.

• OpenLearning
• 20 hours
• Self-Paced
• Paid Course

Wharton Business and Financial Modeling Capstone

523 ratings at Coursera

Develop data-driven business strategies using quantitative models in spreadsheets. Analyze financial data, create optimal portfolios, and present recommendations in a professional PowerPoint presentation.

• Coursera
• 15 hours 47 minutes
• Self-Paced
• Paid Course

Linear Regression for Business Statistics

1369 ratings at Coursera

Learn to apply linear regression for business forecasting and prediction using Excel, covering model building, hypothesis testing, dummy variables, and advanced techniques.

• Coursera
• 1 day 2 hours 46 minutes
• Self-Paced
• Paid Course

Simple Regression Analysis in Public Health

391 ratings at Coursera

Learn to apply simple regression methods in public health, including linear, logistic, and Cox regression. Practice interpreting data and performing calculations using real-world examples.

• Coursera
• 13 hours 56 minutes
• Self-Paced
• Paid Course

Multiple Regression Analysis in Public Health

330 ratings at Coursera

Extend simple regression to predict outcomes using multiple variables. Practice interpreting data and performing calculations on real studies in public health and biostatistics.

• Coursera
• 14 hours
• Self-Paced
• Paid Course

Google Advanced Data Analytics Capstone

1423 ratings at Coursera

Develop data-driven insights for a business problem using advanced analytics techniques, culminating in a capstone project that showcases your comprehensive skills in data science.

• Coursera
• 6 hours 5 minutes
• Self-Paced
• Paid Course

Career Certificate

Data Literacy

267 ratings at Coursera

Develop critical skills in interpreting statistical results through descriptive statistics, data visualization, measurement, regression modeling, and probability, enhancing your ability to evaluate quantitative analyses.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Advanced Linear Models for Data Science 1: Least Squares

192 ratings at Coursera

Explore advanced linear algebra and statistics for data science, focusing on least squares regression, matrix algebra, and linear models to enhance your analytical skills and understanding.

• Coursera
• 8 hours 27 minutes
• Self-Paced
• 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
• Self-Paced
• Free Video

Career Certificate

Data Science Fundamentals

264 ratings at Coursera

Demystify data science through key skills, techniques, and concepts. Explore analytics, statistical modeling, data engineering, big data manipulation, and data mining algorithms.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses