Logistic Regression Courses and Certifications

Supervised Machine Learning: Classification

361 ratings at Coursera

Learn to train and evaluate classification models, including logistic regression, decision trees, and ensembles. Gain hands-on experience with best practices like handling unbalanced classes and using various error metrics.

• Coursera
• 1 day 58 minutes
• On-Demand
• Free Online Course (Audit)

Practical Machine Learning with Scikit-Learn

334 ratings at Udemy

Learn the most powerful machine learning algorithms in under an hour

• Udemy
• 1 hour 7 minutes
• On-Demand
• Free Online Course

Linear Regression and Logistic Regression using R Studio

324 ratings at Udemy

Linear Regression and Logistic Regression for beginners. Understand the difference between Regression & Classification

• Udemy
• 6 hours 14 minutes
• On-Demand
• Paid Course

Data Science Projects: Data Analysis, ML, and Deployment

302 ratings at Udemy

Hands-On Data Science Projects: Streamlit & FastAPI for Real-World ML Model Deployment and Visualization

• Udemy
• 2 hours
• On-Demand
• Paid Course

Statistics with SAS

292 ratings at Coursera

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.

• Coursera
• 20 hours 14 minutes
• On-Demand
• Free Online Course (Audit)

The Complete Intro to Machine Learning

258 ratings at Udemy

Hands-on ML with Python, Pandas, Regression, Decision Trees, Neural Networks, and more!

• Udemy
• 5 hours 6 minutes
• On-Demand
• Paid Course

Machine Learning - Fundamental of Python Machine Learning

237 ratings at Udemy

Learn The Most Effective Machine Learning Techniques in Python

• Udemy
• 3 hours 20 minutes
• On-Demand
• Paid Course

Machine Learning and Deep Learning

214 ratings at Udemy

Basic Concepts like regression algorithms and EDA to advanced concepts like GAN and Explainable AI | Interview Prep

• Udemy
• 9 hours 46 minutes
• On-Demand
• Paid Course

2025 Machine Learning & Data Science for Beginners in Python

193 ratings at Udemy

Data Science Projects with Linear Regression, Logistic Regression, Random Forest, SVM, KNN, KMeans, XGBoost, PCA etc

• Udemy
• 1 day 8 hours 5 minutes
• On-Demand
• Paid Course

Introduction to Statistical Analysis: Hypothesis Testing

159 ratings at Coursera

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.

• Coursera
• 10 hours 3 minutes
• On-Demand
• Free Online Course (Audit)

Variable Selection, Model Validation, Nonlinear Regression

Master advanced regression techniques for data-driven industries. Learn logistic, Poisson, and robust regression, generalized linear models, and model validation using R for practical applications.

• Coursera
• 20 hours 43 minutes
• On-Demand
• Free Online Course (Audit)

AI Workflow: Machine Learning, Visual Recognition and NLP

80 ratings at Coursera

Explore machine learning, visual recognition, and NLP in AI workflows. Learn evaluation metrics, model selection, and best practices for linear models, tree-based algorithms, and neural networks using IBM Watson.

• Coursera
• 13 hours 41 minutes
• On-Demand
• Free Online Course (Audit)

Predictive Modeling with Python

74 ratings at Udemy

Think with a predictive mindset and understand well the basics of the techniques used in prediction with this course

• Udemy
• 9 hours 26 minutes
• On-Demand
• Paid Course

Machine Learning and Data Science Essentials with Python & R

65 ratings at Udemy

Master Machine Learning with Python, Tensorflow & R. Data Science is the most in-demand and Highest Paying Job of 2018

• Udemy
• 6 hours
• On-Demand
• Paid Course

Predictive Modeling with Logistic Regression using SAS

60 ratings at Coursera

Develop predictive models using logistic regression in SAS. Learn variable selection, data preparation, model assessment, and handling missing values for effective analysis of large datasets.

• Coursera
• 16 hours 34 minutes
• On-Demand
• Free Online Course (Audit)