Logistic Regression Courses and Certifications

Sentiment Analysis in Python

16 ratings at DataCamp

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Intermediate Regression with statsmodels in Python

16 ratings at DataCamp

Learn to perform linear and logistic regression with multiple explanatory variables.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Machine Learning with PySpark

11 ratings at DataCamp

Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Logistic Regression in R for Public Health

368 ratings at Coursera

Learn to apply logistic regression to public health data using R. Covers odds ratios, model fitting, and variable selection. Gain practical skills analyzing real-world messy datasets to predict health outcomes.

• Coursera
• 12 hours 22 minutes
• On-Demand
• Paid Course

Credit Risk Modeling in R

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Statistics Fundamentals in Python

Confidently learn to calculate statistics and probability, evaluate statistical models, and draw conclusions from hypothesis tests.

• DataCamp
• 20 hours
• On-Demand
• Free Trial Available

Credit Risk Modeling in Python

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Statistics Fundamentals in R

Discover the power of statistics in R. Learn the key statistical concepts, topics, and techniques used by data scientists and statisticians every day.

• DataCamp
• 20 hours
• On-Demand
• Free Trial Available

Introduction to Predictive Analytics in Python

In this course you'll learn to use and present logistic regression models for making predictions.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Generalized Linear Models in R

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Introduction to Spark SQL in Python

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Machine Learning for Marketing in Python

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Generalized Linear Models in Python

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

• DataCamp
• 5 hours
• On-Demand
• Free Trial Available

Supervised Machine Learning in Python

Master the most popular supervised machine learning techniques to begin making predictions with labeled data.

• DataCamp
• 1 day 1 hour
• On-Demand
• Free Trial Available

HR Analytics: Predicting Employee Churn in R

Predict employee turnover and design retention strategies.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available