Multiple Linear Regression Courses and Certifications

Regression and Gradient Descent

Master regression algorithms from scratch, implementing linear and logistic regression using gradient descent. Build predictive models without relying on high-level libraries for deep mathematical understanding.

• 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 Multi-Factor Cost Models

Master advanced regression techniques to build sophisticated multi-factor prediction models with data cleaning, validation, and custom feature engineering for insurance cost analysis.

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

Career Certificate

Applied Regression Modeling for Insurance Costs

Master regression techniques to predict insurance costs through data exploration, visualization, and model building for accurate pricing decisions.

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

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

Regression and Gradient Descent

Master regression algorithms and gradient descent by building them from scratch, covering linear and logistic regression without relying on high-level libraries.

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

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

Regression Modeling in Practice

274 ratings at Coursera

Aprenda a aplicar e interpretar modelos de regressão linear e logística, explorando associações entre variáveis, testando hipóteses e avaliando a qualidade dos modelos para análise de dados eficaz.

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

Inferential Statistics

610 ratings at Coursera

Explore inferential statistics, from hypothesis testing to advanced techniques like regression and ANOVA. Learn to analyze data, make inferences, and interpret results using various statistical tests.

• Coursera
• 14 hours 41 minutes
• Self-Paced
• Paid Course

Regression Analysis: Simplify Complex Data Relationships

599 ratings at Coursera

Explore predictive modeling techniques to uncover complex data relationships, from linear and logistic regression to ANOVA, enhancing your ability to extract valuable insights for data-driven decision-making.

• Coursera
• 1 day 3 hours 47 minutes
• Self-Paced
• Paid Course

Data Modeling and Prediction with R

Master linear and logistic regression in R to build predictive models, interpret relationships, and quantify uncertainty for data-driven decision making.

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

Data Science Project Capstone: Predicting Bicycle Rental

22 ratings at Coursera

Dive into predictive modeling with linear regression to forecast bicycle rental demand, analyzing weather patterns and temporal factors while mastering data acquisition and correlation techniques.

• Coursera
• 7 hours 23 minutes
• Self-Paced
• Paid Course

Demand Analytics

301 ratings at Coursera

Improve forecasting accuracy and stimulate demand through data analytics. Learn to build prediction models, identify demand drivers, and quantify their impact using real-world examples from a cookware manufacturer.

• Coursera
• 12 hours 50 minutes
• Self-Paced
• Paid Course

From Data to Decisions: Making Predictions with AI

18 ratings at Coursera

Master predictive analytics using AI tools to run regression models, interpret statistical outputs, and transform raw data into actionable business insights and accurate forecasts.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course

Regression and Classification

16 ratings at Coursera

Explore statistical modeling concepts, including regression, classification, and unsupervised techniques. Learn when to use specific models, how to tune them, and understand trade-offs for informed decision-making.

• Coursera
• 1 day 10 hours 50 minutes
• Self-Paced
• Paid Course