Regression Models Courses and Certifications

Simple Regression Analysis in Public Health

391 ratings at Coursera

Learn to apply simple regression methods in public health, including linear, logistic, and Cox regression. Practice interpreting data and performing calculations using real-world examples.

• Coursera
• 13 hours 56 minutes
• Self-Paced
• Paid Course

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

Google Advanced Data Analytics Capstone

1425 ratings at Coursera

Develop data-driven insights for a business problem using advanced analytics techniques, culminating in a capstone project that showcases your comprehensive skills in data science.

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

Career Certificate

Data Literacy

267 ratings at Coursera

Develop critical skills in interpreting statistical results through descriptive statistics, data visualization, measurement, regression modeling, and probability, enhancing your ability to evaluate quantitative analyses.

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

Advanced Linear Models for Data Science 1: Least Squares

192 ratings at Coursera

Explore advanced linear algebra and statistics for data science, focusing on least squares regression, matrix algebra, and linear models to enhance your analytical skills and understanding.

• Coursera
• 8 hours 27 minutes
• Self-Paced
• Paid Course

Linear Regression and Linear Models

Learn powerful statistical tools: linear regression and models. Predict continuous values using various data types. Covers least squares, multiple regression, t-tests, ANOVA, and R implementation.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Career Certificate

Data Science Fundamentals

264 ratings at Coursera

Demystify data science through key skills, techniques, and concepts. Explore analytics, statistical modeling, data engineering, big data manipulation, and data mining algorithms.

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

Advanced Linear Models for Data Science 2: Statistical Linear Models

108 ratings at Coursera

Explore advanced linear algebra and statistical concepts for regression modeling, enhancing your understanding of least squares, multivariate distributions, and residual analysis.

• Coursera
• 5 hours 40 minutes
• Self-Paced
• Paid Course

Predictive Modeling and Analytics

605 ratings at Coursera

Gain insights through data analysis, visualization, and predictive modeling techniques. Learn to use XLMiner for regression, classification, decision trees, and neural networks in business contexts.

• Coursera
• 10 hours 53 minutes
• Self-Paced
• Paid Course

Career Certificate

How to Use Data

6 ratings at Coursera

Master essential data analytics skills from SQL and Python to predictive modeling and Tableau, enabling you to transform raw data into actionable business insights and compelling visualizations.

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

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

What are the Chances? Probability and Uncertainty in Statistics

18 ratings at Coursera

Explore probability, uncertainty, and statistical significance in data analysis. Learn to interpret findings, conduct hypothesis tests, and understand regression analysis for informed decision-making.

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

Career Certificate

Applied Machine Learning

16 ratings at Coursera

Develop practical machine learning skills through hands-on application of supervised learning, ensemble methods, neural networks, and advanced techniques like CNNs and reinforcement learning.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Predictive Modeling, Model Fitting, and Regression Analysis

75 ratings at Coursera

Explore predictive modeling techniques, including supervised and unsupervised approaches, model fitting, and regression analysis. Develop skills in data classification, decision trees, and linear regression through hands-on activities.

• Coursera
• 4 hours 26 minutes
• Self-Paced
• Paid Course

Advanced Probability and Statistical Methods

Master advanced probability concepts through joint distributions, statistical testing, and Markov chains, building expertise in data analysis and statistical inference for real-world applications.

• Coursera
• 1 day 23 hours 46 minutes
• Self-Paced
• Paid Course