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  • Logistic Regression

Logistic Regression Courses

Logistic regression courses can help you learn statistical modeling, hypothesis testing, and the interpretation of coefficients. You can build skills in evaluating model performance, understanding odds ratios, and applying techniques like regularization to improve accuracy. Many courses introduce tools such as R, Python, and specialized libraries like scikit-learn, showing how these skills are used to analyze binary outcomes in various fields, including healthcare, finance, and marketing.

Popular Logistic Regression Courses and Certifications


  • C

    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Java Programming, Sampling (Statistics), Statistical Machine Learning, Model Evaluation, Supervised Learning, Machine Learning Methods, Model Training, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build & Evaluate Decision Trees for ML

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Classification Algorithms, Model Training, Applied Machine Learning, Java, Java Programming, Model Optimization, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Fine-tuning, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Algorithms

    Advanced · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Master Decision Trees in R: Build, Predict & Evaluate

    Skills you'll gain: Model Evaluation, Supervised Learning, Model Training, Data Preprocessing, Data-Driven Decision-Making, Financial Data, Classification Algorithms, Plot (Graphics)

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimizing Enterprise Testing with Functionize

    Skills you'll gain: AI Orchestration, AI Workflows, Software Testing, AI Integrations, Jenkins, Azure DevOps Pipelines, Test Engineering, Azure DevOps, Continuous Deployment

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Economic Decision Making Part 2

    Skills you'll gain: Depreciation, Risk Analysis, Risk Modeling, Engineering Management, Cost Benefit Analysis, Strategic Decision-Making, Decision Tree Learning, Financial Analysis, Capital Budgeting, Tax Management, Decision Making, Capital Expenditure, Tax Planning, Income Tax, Economics, Simulation and Simulation Software, Probability Distribution, Corporate Tax, Cash Flows

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Grow Trees & Powerful Ensembles

    Skills you'll gain: Classification And Regression Tree (CART), Model Deployment, Model Optimization, Decision Tree Learning, Predictive Modeling, Model Evaluation, Model Training, Predictive Analytics, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Data-Driven Decision-Making, Performance Tuning, Feasibility Studies, Scikit Learn (Machine Learning Library), Data Visualization, Performance Analysis, Statistical Methods, Cost Benefit Analysis, Performance Measurement

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Model Training, Java Programming, Java, Feature Engineering, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Analyze and Apply Statistical Methods Using Minitab

    Skills you'll gain: Minitab, Process Capability, Statistical Process Controls, Statistical Hypothesis Testing, Data Visualization, Descriptive Statistics, Statistical Analysis, Statistical Software, Plot (Graphics), Statistics, Sampling (Statistics), Statistical Visualization, Process Analysis, Probability & Statistics, Probability Distribution, Statistical Modeling, Data Analysis, Statistical Methods, Performance Analysis, Exploratory Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze Data Science Concepts Using R

    Skills you'll gain: Data Manipulation, Statistical Analysis, R (Software), Ggplot2, R Programming, Data Wrangling, Data Transformation, Data Visualization Software, Data Science, Applied Machine Learning, Data Preprocessing, Probability & Statistics, Data Analysis, Statistical Modeling, Machine Learning Methods, Regression Analysis, Statistical Software, Data-Driven Decision-Making, Statistical Programming, Machine Learning

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Evaluate, Analyze, and Model Performance

    Skills you'll gain: Performance Metric, Predictive Modeling, Data-Driven Decision-Making, Failure Analysis, Statistical Analysis, Statistical Hypothesis Testing, Sampling (Statistics)

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular logistic regression courses

  • Improve Accuracy with ML Ensemble Methods: Coursera
  • Build & Evaluate Decision Trees for ML: Coursera
  • Master Decision Trees in R: Build, Predict & Evaluate: EDUCBA
  • Optimizing Enterprise Testing with Functionize: Coursera
  • Build Predictive & Supervised Models: Coursera
  • Economic Decision Making Part 2: Northeastern University
  • Grow Trees & Powerful Ensembles: Coursera
  • ML Concepts, Models & Workflow Essentials: Coursera
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Analyze and Apply Statistical Methods Using Minitab: EDUCBA

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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