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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
    J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Science, Statistics, Mathematical Modeling, Data Analysis, Data Modeling, Applied Mathematics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    783 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    Imperial College London

    Statistical Analysis with R for Public Health

    Skills you'll gain: Logistic Regression, Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, R (Software), Statistics, Statistical Methods, Data Wrangling, Public Health

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    Duke University

    Linear Regression and Modeling

    Skills you'll gain: Regression Analysis, R (Software), Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Model Evaluation, Exploratory Data Analysis, Mathematical Modeling, Statistics, Predictive Modeling, Probability & Statistics

    4.8
    Rating, 4.8 out of 5 stars
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    1.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
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    448 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    E

    EDUCBA

    Regression & Forecasting for Data Scientists using Python

    Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Model Evaluation, Feature Engineering, Data Preprocessing, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Data Science, Matplotlib, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    42 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Predictive Modeling

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Predictive Modeling, Data Preprocessing, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Pivot Tables And Charts, Data Transformation, Statistical Modeling, Trend Analysis, Predictive Analytics, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
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    141 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    Status: Preview
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    E

    EDUCBA

    Predictive Analytics with SPSS: Analyze & Apply

    Skills you'll gain: SPSS, Correlation Analysis, SPSS (Software), Logistic Regression, Regression Analysis, Predictive Modeling, Predictive Analytics, Descriptive Statistics, Statistical Methods, Statistical Modeling, Case Studies, Statistical Analysis, Data Import/Export, Data Manipulation, Analysis, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
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    13 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Linear Regression

    Skills you'll gain: Statistical Inference, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Data Science, Logistic Regression, Data Analysis, Probability & Statistics, Linear Algebra

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    28 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Linear Regression in R for Public Health

    Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, R (Software), Exploratory Data Analysis, Model Evaluation, Statistical Analysis, Probability & Statistics, Biostatistics, Data Import/Export

    4.8
    Rating, 4.8 out of 5 stars
    ·
    527 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Fundamentals of Natural Language Processing

    Skills you'll gain: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Logistic Regression, Artificial Intelligence and Machine Learning (AI/ML), Statistical Modeling, Machine Learning Methods, Classification Algorithms, Unstructured Data, Deep Learning, Probability Distribution, Linear Algebra, Algorithms

    Build toward a degree

    3.7
    Rating, 3.7 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Advanced Statistics for Data Science: Johns Hopkins University
  • Statistical Analysis with R for Public Health: Imperial College London
  • Introduction to Machine Learning: Duke University
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
  • Linear Regression and Modeling : Duke University
  • Supervised Machine Learning: Classification: IBM
  • Regression & Forecasting for Data Scientists using Python: EDUCBA
  • Introduction to Predictive Modeling: University of Minnesota
  • Predictive Analytics with SPSS: Analyze & Apply: EDUCBA
  • Linear Regression: Illinois Tech

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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