Regression Models Courses and Certifications

Coursera

ML Parameters Optimization: GridSearch, Bayesian, Random

Optimize ML regression models using grid search, random search, and Bayesian optimization techniques for fine-tuning hyperparameters and improving model performance on datasets.

• Coursera
• 1 hour 56 minutes
• Self-Paced
• Paid Course

Supervised Learning Regression Classification Clustering

Master essential machine learning techniques from regression and classification to clustering, gaining practical skills to implement supervised and unsupervised learning for real-world data analysis.

• Coursera
• 7 hours 44 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Statistical Inference & Predictive Modeling Foundations

Master statistical inference and predictive modeling through A/B testing, regression, neural networks, and ensemble methods to drive data-driven business decisions.

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

Edureka

Predictive Modeling with Python

Master statistical analysis and machine learning in Python through hands-on practice with real-world data, from probability distributions to predictive modeling and model optimization.

• Coursera
• 16 hours 45 minutes
• Self-Paced
• Paid Course

Business 212: Business Statistics

Learn essential business statistics concepts, from descriptive measures to probability, hypothesis testing, and forecasting, with engaging lessons and expert instructors.

• Study.com
• 16 hours 56 minutes
• Self-Paced
• Paid Course

Maven Analytics

Complete Visual Guide to Machine Learning

Gain insights into machine learning fundamentals through visual examples and Excel-based models, covering classification, regression, forecasting, and unsupervised learning techniques - no coding required.

• Coursera
• 15 hours 3 minutes
• Self-Paced
• Paid Course

Packt

120 Quick Stata Tips

Master 120 Stata tips for efficient data management, advanced statistics, streamlined programming, and impactful visualizations. Enhance your skills in handling complex datasets, creating publication-quality outputs, and optimizing workflows.

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

EDUCBA

Apply Advanced Statistical Modeling Using SPSS

Master advanced statistical modeling and predictive analytics using SPSS through real-world datasets from healthcare, finance, and business contexts.

• Coursera
• 10 hours 36 minutes
• Self-Paced
• Paid Course

Coursera

Solving ML Regression Problems with AWS AutoGluon

Train powerful regression models quickly using AutoGluon, the library behind AWS SageMaker autopilot. Learn to prototype and evaluate multiple models efficiently with minimal code.

• Coursera
• 1 hour 54 minutes
• Self-Paced
• Paid Course

Statistical Analysis and Data Modeling in Healthcare

Master statistical analysis and predictive modeling techniques for healthcare data using Python, from descriptive statistics to machine learning applications.

• Coursera
• 8 hours 29 minutes
• Self-Paced
• Paid Course

American Psychological Association

Measures of Correlation and Contingency

Explore statistical relationships through correlation and contingency tables. Learn to identify, understand, and describe correlations, and recognize patterns in contingency tables for effective data analysis.

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

Coursera

Statistical and Predictive Modeling for Finance

Master statistical modeling and predictive analytics for finance through regression analysis, A/B testing, and supervised learning to evaluate portfolio performance and predict credit risk.

• Coursera
• 9 hours 52 minutes
• Self-Paced
• Paid Course

EDUCBA

Statistics for Data Science with Python

Master statistical analysis and predictive modeling using Python, Pandas, and NumPy through hands-on exercises covering descriptive stats, hypothesis testing, and regression techniques.

• Coursera
• 8 hours 3 minutes
• Self-Paced
• Paid Course

Packt

Intermediate Data Manipulation and Machine Learning

Explore AI fundamentals, regression analysis, model preparation, classification techniques, and advanced machine learning concepts through interactive labs and real-world applications.

• Coursera
• 13 hours 16 minutes
• Self-Paced
• Paid Course

TECEP Principles of Statistics: Study Guide & Test Prep

Comprehensive preparation for TECEP Principles of Statistics exam, covering key concepts through video lessons and quizzes. Master statistical principles and techniques in less than two weeks.

• Study.com
• 12 hours 8 minutes
• Self-Paced
• Paid Course