Logistic Regression Courses and Certifications

Deep Learning with Keras and Tensorflow

1031 ratings at Coursera

Discover hidden structures in unstructured data using TensorFlow. Learn to build and apply deep learning models for various data types to solve real-world problems.

• Coursera
• 23 hours 21 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

Intro to Predictive Analytics Using Python

Master predictive analytics fundamentals using Python, from regression models to advanced techniques like random forests and unsupervised learning, enabling data-driven forecasting and pattern recognition.

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

Prediction Models with Sports Data

42 ratings at Coursera

Learn to forecast sports game outcomes using Python, focusing on logistic regression modeling with team expenditure data. Apply and evaluate models for EPL, NBA, and NHL, exploring betting odds and analytics.

• Coursera
• 1 day 9 hours 28 minutes
• Self-Paced
• Paid Course

Credential

Data Science for Health Research

13 ratings at Coursera

Learn to organize, visualize, and analyze health data using R for statistical modeling, linear regression, and logistic regression to make data-informed decisions in public health.

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

AI for Medical Prognosis

800 ratings at Coursera

In this course, you will build risk models and survival estimators for heart disease using statistical methods and a random forest predictor to determine patient prognosis.

• Coursera
• 1 day 5 hours 44 minutes
• 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

Python Machine Learning Bootcamp (Live Online)

749 ratings at CourseHorse

Master the in-demand skill of machine learning and learn how to create algorithms that can independently learn patterns and make decisions in this hands-on bootcamp.

• CourseHorse
• Self-Paced
• $1,895.00

Python Machine Learning Bootcamp (Live Online)

686 ratings at CourseHorse

Master the practical skills needed to solve real-world problems with machine learning.

• CourseHorse
• Self-Paced
• $1,895.00

Regression Analysis: Simplify Complex Data Relationships

594 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

The Analytics Edge

4 ratings

This course presents real-world examples in which quantitative methods provide a significant competitive edge that has led to a first order impact on some of today's most important companies.

• MIT OpenCourseWare
• 16 hours
• Self-Paced
• Free Video

Bayesian Statistics: Techniques and Models

497 ratings at Coursera

Expand your Bayesian toolbox with advanced models and MCMC methods. Learn to construct, fit, assess, and compare sophisticated statistical models using R and JAGS for real-world data analysis.

• Coursera
• 1 day 5 hours 37 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

Statistical Learning with Python

Master statistical learning fundamentals through hands-on Python implementation, covering regression, classification, neural networks, and unsupervised methods without heavy mathematics.

• YouTube
• 20 hours 18 minutes
• Self-Paced
• Free Video

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