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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


  • Status: New
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    Logical Operations

    Advanced Programming Techniques with Python

    Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Database Application, Python Programming, Unit Testing, Computer Programming, Restful API, Cross Platform Development, Package and Software Management, Scripting, Data Science, Computer Programming Tools, Program Development, Software Development, Data Processing, Debugging, Programming Principles, User Interface (UI) Design, Regression Analysis, Machine Learning

    Intermediate · Specialization · 1 - 3 Months

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    Coursera

    Build & Evaluate Decision Trees for ML

    Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Applied Machine Learning, Java, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Feature Engineering, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Machine Learning, Algorithms

    Advanced · Course · 1 - 4 Weeks

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    C

    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Econometrics, Program Evaluation, Logistic Regression

    3.3
    Rating, 3.3 out of 5 stars
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    104 reviews

    Advanced · Course · 1 - 3 Months

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    University of Minnesota

    Software Testing and Automation

    Skills you'll gain: Open Web Application Security Project (OWASP), Cucumber (Software), Software Testing, Selenium (Software), Gherkin (Scripting Language), JUnit, Verification And Validation, Test Automation, Unit Testing, Security Testing, Regression Testing, System Testing, Test Case, Software Development Tools, Testability, White-Box Testing, Behavior-Driven Development, Code Coverage, Performance Testing, Development Testing

    4.2
    Rating, 4.2 out of 5 stars
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    1K reviews

    Intermediate · Specialization · 3 - 6 Months

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    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
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    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Minitab Applied Statistics & Hypothesis Testing Mastery

    Skills you'll gain: Minitab, Process Capability, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Business Analytics, Sampling (Statistics), Probability & Statistics, Probability Distribution, Data-Driven Decision-Making, Statistical Methods, Data Analysis, Performance Analysis, Predictive Analytics, Statistical Inference, Case Studies, Statistical Visualization, Quality Control, Statistical Modeling

    Beginner · Specialization · 1 - 3 Months

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    Packt

    Microsoft Azure AI Fundamentals AI-900 Exam Guide

    Skills you'll gain: Responsible AI, Image Analysis, Generative AI, Machine Learning, Computer Vision, Microsoft Azure, Artificial Intelligence, Data Preprocessing, Natural Language Processing, OpenAI, Regression Analysis, AI Workflows, Model Deployment, Model Evaluation, Classification Algorithms

    Beginner · Course · 1 - 3 Months

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    Whizlabs

    Fundamentals of Machine Learning

    Skills you'll gain: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, AWS SageMaker, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Azure DevOps, Model Deployment, Microsoft Azure, Amazon Web Services, Deep Learning, Data Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    R

    Rutgers the State University of New Jersey

    Demand Analytics

    Skills you'll gain: Demand Planning, Customer Demand Planning, Regression Analysis, Data Collection, Supply Chain Planning, Statistical Analysis, Forecasting, Marketing Analytics, Predictive Analytics, Advanced Analytics, Trend Analysis, Predictive Modeling, Time Series Analysis and Forecasting, Data Preprocessing, Exploratory Data Analysis, Model Evaluation, Data Visualization, Data Visualization Software

    4.6
    Rating, 4.6 out of 5 stars
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    297 reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Pennsylvania

    A Crash Course in Causality: Inferring Causal Effects from Observational Data

    Skills you'll gain: R Programming, R (Software), Statistical Analysis, Statistical Methods, Statistical Modeling, Statistical Inference, Data Analysis, Quantitative Research, Regression Analysis, Research Design, Graph Theory

    4.7
    Rating, 4.7 out of 5 stars
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    570 reviews

    Intermediate · Course · 1 - 3 Months

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    MathWorks

    Predictive Modeling and Machine Learning with MATLAB

    Skills you'll gain: Supervised Learning, Model Evaluation, Classification Algorithms, Applied Machine Learning, Matlab, Regression Analysis, Data Preprocessing, Predictive Modeling, Machine Learning, Feature Engineering, Decision Tree Learning, Logistic Regression, Data Cleansing

    4.8
    Rating, 4.8 out of 5 stars
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    119 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Everyday Excel, Part 2

    Skills you'll gain: Regression Analysis, Microsoft Excel, Statistical Modeling, Excel Formulas, Financial Analysis, Predictive Modeling, Data Management, Financial Modeling, Data Analysis Expressions (DAX), Financial Forecasting, Process Optimization, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
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    572 reviews

    Intermediate · Course · 1 - 3 Months

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1…242526…60

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

  • Advanced Programming Techniques with Python: Logical Operations
  • Build & Evaluate Decision Trees for ML: Coursera
  • Causal Inference: Columbia University
  • Software Testing and Automation: University of Minnesota
  • Practical Machine Learning: Johns Hopkins University
  • Minitab Applied Statistics & Hypothesis Testing Mastery: EDUCBA
  • Microsoft Azure AI Fundamentals AI-900 Exam Guide: Packt
  • Fundamentals of Machine Learning: Whizlabs
  • Demand Analytics: Rutgers the State University of New Jersey
  • A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania

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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