Nonlinear Regression Courses and Certifications

Chemometrics & Machine Learning in Copenhagen

Partial Least Squares for Nonlinear Regression

Explore dimension reduction in PLS regression for nonlinear relationships, challenging traditional views and proposing new insights into PLS-like methods for predictive modeling.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

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
• Self-Paced
• Paid Course

UofU Data Science

Nonlinear Regression and Regularization in Data Mining - Spring 2023

Master nonlinear regression concepts, from polynomial mappings to regularization techniques, while learning practical implementation in Python and understanding cross-validation for model optimization.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

BIMSA

Quasi-Dynamic System Representation of Multiple Nonlinear Regression

Explore evolutionary game theory and allometric scaling to model nonlinear relationships between variables, overcoming limitations of linear regression for complex systems analysis.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Modern Statistical Computing and Regression Modeling in R

Discover statistical computing with R, Excel, Tableau, and Jupyter Notebooks while mastering Monte Carlo methods and regression analysis through hands-on practice with real datasets.

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

Microsoft Excel - Excel Data Analysis Expert (Accredited)

3527 ratings at Udemy

Microsoft Excel Data Analysis Expert | Dashboards | Microsoft Excel 2016, Microsoft Excel 2019, MS Excel 365 Compatible

• Udemy
• 7 hours 34 minutes
• Self-Paced
• Paid Course

Packt

The STATA OMNIBUS: Regression and Modelling with STATA

1 rating

Master regression analysis and modeling in STATA. Learn linear and non-linear techniques, explore advanced strategies, and apply practical examples using real-world data. Gain expertise in interpreting outputs and handling complex statistical scenarios.

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

Credential

Advanced Statistical Techniques for Data Science

48 ratings at Coursera

Master advanced statistical techniques for data science including regression, model diagnostics, variable selection, Bayesian statistics, and data preparation for complex analysis.

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

The STATA OMNIBUS: Regression and Modelling with STATA

918 ratings at Udemy

4 COURSES IN 1! Master Linear and Non-Linear Regression, Regression Modeling, and Stata Fundamentals - All in One Place

• Udemy
• 19 hours 33 minutes
• Self-Paced
• Paid Course

Deep Learning with TensorFlow

Learn TensorFlow for deep learning: from basics to advanced architectures. Master neural networks, CNNs, RNNs, and autoencoders. Practical applications in image, sound, and text processing.

• Cognitive Class
• 3 hours
• Self-Paced
• Free Online Course

NPTEL;  IIT Kharagpur

Engineering Econometrics

This course will be exclusively quantitative and an application to business/management-related problems. It is connected with problem sets and real-life cases to know the relevance of a particular problem and the decision-making thereof.

• YouTube
• 1 day 11 hours
• Self-Paced
• Free Video

NPTEL-NOC IITM

Gaussian Process Regression

Explore non-linear regression techniques, focusing on Gaussian Process Regression, basis functions, and systems. Gain insights into GP priors for advanced statistical modeling.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Machine Learning Basics: A Speedrun - IPAM at UCLA

Speedrun through machine learning fundamentals, covering key concepts like inductive bias, regularization, and kernel methods for both linear and nonlinear regression.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Statistics

Comprehensive statistics screencasts for engineers, covering data analysis, regression, distributions, hypothesis testing, and advanced topics with practical applications in MATLAB, Excel, and POLYMATH.

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

Mathematics

Comprehensive screencasts on advanced mathematical concepts, including equations, matrices, and regression analysis, with practical applications using Excel and POLYMATH software.

• YouTube
• 2 hours 30 minutes
• Self-Paced
• Free Video