Polynomial Regression Courses and Certifications

Polynomial Regression, R, and ggplot

1345 ratings at Udemy

Learn how to write and graph functions in R and how to fit polynomials to data sets.

• Udemy
• 1 hour 5 minutes
• Self-Paced
• Free Online Course

Institute for Pure & Applied Mathematics (IPAM)

Modelling Atomic Properties with the Atomic Cluster Expansion - IPAM at UCLA

Explore atomic cluster expansion for hybrid interatomic potentials, covering methodology, applications, and theoretical foundations in quantum mechanics and materials science.

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

UofU Data Science

Multi-Linear and Polynomial Regression - L12

Master multi-dimensional linear regression and polynomial regression techniques using optimal least-squares solutions and closed-form mathematical approaches.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Introduction to Data Science with Python

156 ratings at edX

Learn the concepts and techniques that make up the foundation of data science and machine learning.

• edX
• 8 weeks, 3-4 hours/week
• Self-Paced
• Free Online Course (Audit)

Diving Deep into Regression

Master advanced regression techniques from polynomial to elastic net, with hands-on practice using real datasets for predictive modeling and performance optimization.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Regression Models for Prediction

Master regression modeling techniques to build predictive models using Python, covering multiple linear, polynomial, lasso and ridge regression, along with essential model evaluation metrics and visualization methods.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

PredictHealth's Advanced Pricing System

Master advanced modeling techniques to build state-of-the-art insurance pricing systems with non-linear patterns, feature interactions, regularization, and robust validation methods.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Statistical Learning with Python

24 ratings at edX

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in Python.

• edX
• 11 weeks, 3-5 hours/week
• Self-Paced
• Free Online Course (Audit)

Statistical Learning with R

Master supervised and unsupervised learning techniques using R, from linear regression to deep learning, with hands-on implementation of modern data science methods.

• YouTube
• 20 hours 28 minutes
• Self-Paced
• Free Video

Regression Analysis

10 ratings at Coursera

Master regression analysis techniques to model relationships, prevent overfitting, and make data-driven decisions. Explore linear and polynomial regression, regularization, cross-validation, and ensemble methods through hands-on practice.

• Coursera
• 1 day 16 hours 1 minute
• Self-Paced
• Paid Course

Packt

Foundations of Data Science and Machine Learning with Python

Master data science and machine learning fundamentals using Python libraries for analysis, visualization, and predictive modeling with hands-on projects.

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

EDUCBA

Seaborn Python: Visualize & Analyze Data Distributions

Master advanced statistical plotting with Seaborn to analyze data distributions, create regression visualizations, and build insightful multivariate plots for enhanced data storytelling.

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

Machine Learning: Regression

This course covers key supervised machine learning topics in regression analysis. You’ll learn to train and test regression models. Ideal for aspiring data scientists and machine learning engineers.

• edX
• 2 weeks, 20-24 hours/week
• Self-Paced
• Free Online Course (Audit)

Packt

Advanced Strategy and Automation for Trading Bots

Master advanced trading bot strategies using mathematical operators, candlestick analysis, regression models, and looping logic to build a fully automated, intelligent trading system.

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

Understanding the World Through Data

Discover how to leverage data and basic machine learning algorithms using Python to explore relationships, distributions, and classification models for real-world insights.

• MITx Online
• 9 weeks, 3-6 hours a week
• Self-Paced
• Free Online Course