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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: Preview
    Preview
    U

    Universiteit Leiden

    Population Health: Responsible Data Analysis

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Descriptive Statistics, Statistical Methods, Probability & Statistics, Data Ethics, Data Collection, Exploratory Data Analysis, Statistical Modeling, Data Cleansing, Data Security

    4.6
    Rating, 4.6 out of 5 stars
    ·
    45 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Business Analytics using Excel

    Skills you'll gain: Data Visualization, Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Dashboard, Excel Macros, Data Analysis, Analytics, Data Cleansing, Data Processing, Regression Analysis, Descriptive Statistics

    4.4
    Rating, 4.4 out of 5 stars
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    29 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    ANOVA and Experimental Design

    Skills you'll gain: Statistical Hypothesis Testing, Research Design, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, Data Analysis, Quantitative Research, Regression Analysis, Probability & Statistics, Linear Algebra, Calculus

    Build toward a degree

    4
    Rating, 4 out of 5 stars
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    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Machine Learning for Accounting with Python

    Skills you'll gain: Machine Learning Algorithms, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Data Processing, Supervised Learning, Predictive Modeling, Python Programming, Regression Analysis, Feature Engineering, Jupyter, Pandas (Python Package), Natural Language Processing, Statistical Analysis, Performance Metric

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    S

    SAS

    Statistical Thinking for Industrial Problem Solving, presented by JMP

    Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistics, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Probability & Statistics, Statistical Visualization, Data Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    99 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Data Science Fundamentals

    Skills you'll gain: Analytical Skills, Data Ethics, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Predictive Analytics, Data Analysis, Classification And Regression Tree (CART), Regression Analysis, Data Mining, Data Strategy, Statistical Analysis, Data Science, Social Media, Text Mining, Anomaly Detection, Business Analytics, Decision Tree Learning, Statistical Modeling, Cloud Computing

    4.3
    Rating, 4.3 out of 5 stars
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    258 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
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    24 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Data Analysis Tools

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Software, Correlation Analysis, SAS (Software), Data Analysis, Statistical Methods, Quantitative Research, Probability & Statistics, Analytical Skills, Regression Analysis, Data Management, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
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    416 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    P

    Peking University

    医学统计学与SPSS软件(基础篇)

    Skills you'll gain: Statistical Hypothesis Testing, SPSS, Statistical Analysis, Statistical Methods, Sampling (Statistics), Descriptive Statistics, Correlation Analysis, Regression Analysis, Probability & Statistics, Statistics, Quantitative Research, Data Analysis Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    159 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Programming for Python Data Science: Principles to Practice

    Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Scientific Visualization, Data Visualization Software, Predictive Analytics, Debugging, Data Manipulation, Object Oriented Programming (OOP), Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Microsoft Visual Studio, Predictive Modeling, Data Analysis

    4
    Rating, 4 out of 5 stars
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    89 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    Build toward a degree

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    P

    Pontificia Universidad Católica de Chile

    Introducción a los modelos de demanda de transporte

    Skills you'll gain: Data Collection, Transportation Operations, Surveys, Quantitative Research, Mathematical Modeling, Predictive Modeling, Statistical Methods, Regression Analysis, Supply And Demand, Spatial Analysis, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
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    462 reviews

    Intermediate · Course · 1 - 3 Months

Searches related to logistic regression

logistic regression in r for public health
logistic regression fundamentals: analyze & predict
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logistic regression with sas: build & evaluate models
logistic regression with r: build & predict
python: logistic regression & supervised ml
spss: apply & interpret logistic regression models
1…282930…53

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

  • Population Health: Responsible Data Analysis: Universiteit Leiden
  • Business Analytics using Excel: Simplilearn
  • ANOVA and Experimental Design: University of Colorado Boulder
  • Machine Learning for Accounting with Python: University of Illinois Urbana-Champaign
  • Statistical Thinking for Industrial Problem Solving, presented by JMP: SAS
  • Data Science Fundamentals: University of California, Irvine
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Data Analysis Tools: Wesleyan University
  • 医学统计学与SPSS软件(基础篇): Peking University
  • Programming for Python Data Science: Principles to Practice: Duke University

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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