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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.


More to explore:

Popular Logistic Regression Courses and Certifications


  • Status: Free Trial
    Free Trial
    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
    ·
    296 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
    ·
    104 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Epidemiology for Public Health

    Skills you'll gain: Epidemiology, Diagnostic Tests, Research Design, Public Health and Disease Prevention, Biostatistics, Clinical Research, Public Health, Preventative Care, Data Collection, Research Methodologies, Program Evaluation, Risk Analysis, Quantitative Research, Health Policy, Statistical Analysis, Research, Sample Size Determination, Regression Analysis, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.2K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Software Testing

    Skills you'll gain: Software Testing, JUnit, Verification And Validation, Unit Testing, System Testing, Test Case, Test Automation, Development Testing, Test Planning, White-Box Testing, Code Coverage, Software Quality Assurance, Functional Testing, Test Data

    4.3
    Rating, 4.3 out of 5 stars
    ·
    815 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Virtual Machines, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
    ·
    176 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Model Deployment, Predictive Modeling, Financial Forecasting, Finance

    4
    Rating, 4 out of 5 stars
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    890 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Science with R

    Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Web Scraping, Ggplot2, Model Evaluation, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Data Analysis, Regression Analysis, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control

    4.8
    Rating, 4.8 out of 5 stars
    ·
    30 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Data Cleansing, Supervised Learning, Data Preprocessing, Data Strategy, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
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    448 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Financial Engineering and Risk Management

    Skills you'll gain: Portfolio Management, Derivatives, Financial Market, Securities (Finance), Investment Management, Asset Management, Credit Risk, Mortgage Loans, Mathematical Modeling, Applied Mathematics, Estimation, Capital Markets, Financial Modeling, Risk Modeling, Portfolio Risk, Regression Analysis, Market Liquidity, Futures Exchange, Risk Management, Actuarial Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    405 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Statistics & Mathematics for Data Science & Data Analytics

    Skills you'll gain: Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Applied Machine Learning, Predictive Modeling, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    40 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    AI-Powered Business Analysis: Excel, KPIs & GenAI

    Skills you'll gain: Excel Macros, Key Performance Indicators (KPIs), Prompt Engineering, Data Storytelling, Performance Measurement, Regression Analysis, Business Metrics, Continuous Improvement Process, Performance Analysis, Business Process Improvement, Performance Improvement, Statistical Hypothesis Testing, Responsible AI, ChatGPT, Microsoft Excel, Generative AI, Data Visualization, Business Analysis, Statistical Analysis, Business Intelligence

    4.5
    Rating, 4.5 out of 5 stars
    ·
    389 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Demand Analytics: Rutgers the State University of New Jersey
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
  • Epidemiology for Public Health: Imperial College London
  • Introduction to Software Testing: University of Minnesota
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Introduction to Trading, Machine Learning & GCP: Google Cloud
  • Data Science with R: Duke University
  • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
  • Financial Engineering and Risk Management: Columbia University
  • Statistics & Mathematics for Data Science & Data Analytics: Packt

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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