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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: Free Trial
    Free Trial
    V

    Vanderbilt University

    Introduction to Data, Signal, and Image Analysis with MATLAB

    Skills you'll gain: Scientific Visualization, Image Analysis, Data Visualization Software, Matlab, Machine Learning Methods, Applied Machine Learning, Dimensionality Reduction, Digital Signal Processing, Data Analysis, Data Processing, Mathematical Software, Classification Algorithms, Regression Analysis, Scripting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    233 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    E

    EDHEC Business School

    Python and Machine Learning for Asset Management

    Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Investments, Portfolio Risk, Machine Learning Methods, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Financial Modeling, Supervised Learning, Model Evaluation, Predictive Analytics, Market Data, Feature Engineering, Unsupervised Learning, Regression Analysis, Statistical Methods, Analysis, Computer Science

    3.1
    Rating, 3.1 out of 5 stars
    ·
    332 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Machine Learning Methods, Model Training, Predictive Modeling, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis, Performance Measurement

    4.3
    Rating, 4.3 out of 5 stars
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    28 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Interpretable Machine Learning

    Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Artificial Intelligence, Machine Learning, Applied Machine Learning, Statistical Modeling, Python Programming, Embeddings, Deep Learning, Machine Learning Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    30 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Precalculus: Mathematical Modeling

    Skills you'll gain: Data Literacy, Data Analysis, Applied Mathematics, Mathematical Modeling, Data Modeling, Systems Of Measurement, Correlation Analysis, Regression Analysis, Trigonometry

    4.8
    Rating, 4.8 out of 5 stars
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    95 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Learning for Data Science

    Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Data Science, Decision Tree Learning, Statistical Methods, Classification And Regression Tree (CART), Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Machine Learning Methods, Classification Algorithms, Supervised Learning, R Programming, Statistical Inference, Machine Learning Algorithms, Dimensionality Reduction

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
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    21 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    P

    Packt

    Data Science Essentials: Analysis, Statistics, and ML

    Skills you'll gain: Plotly, Model Evaluation, NumPy, Statistical Methods, Probability & Statistics, Plot (Graphics), Dashboard, Statistics, Pandas (Python Package), Data Analysis, Database Development, Statistical Analysis, Regression Analysis, Dashboard Creation, Data Manipulation, Python Programming, Applied Machine Learning, Probability, Data Science, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
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    30 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    T

    Tecnológico de Monterrey

    Incrementar - Parte 2 y Controlar

    Skills you'll gain: Lean Six Sigma, Six Sigma Methodology, Lean Manufacturing, Statistical Process Controls, Quality Control, Quality Monitoring, Continuous Improvement Process, Predictive Modeling, Production Process, Process Improvement, Mathematical Modeling, Predictive Analytics, Kanban Principles, Workflow Management, Inventory Control, Regression Analysis, Root Cause Analysis, Statistical Modeling, Management Reporting, Production Schedule

    4.9
    Rating, 4.9 out of 5 stars
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    87 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Applied Machine Learning, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Probability & Statistics, Bayesian Statistics, Social Network Analysis, Simulations, Statistical Software

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Machine Learning with PySpark

    Skills you'll gain: PySpark, Model Optimization, Model Training, Applied Machine Learning, Data Manipulation, Machine Learning, Data Preprocessing, Logistic Regression

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Algorithms, Feature Engineering, Machine Learning Software, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
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    15 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: Model Evaluation, Machine Learning Algorithms, Model Optimization, Scikit Learn (Machine Learning Library), Model Training, Unsupervised Learning, Text Mining, Time Series Analysis and Forecasting, Pandas (Python Package), Classification Algorithms, Machine Learning, Applied Machine Learning, Supervised Learning, Predictive Modeling, Unstructured Data, Feature Engineering, Jupyter, Regression Analysis, Data Preprocessing, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
  • Python and Machine Learning for Asset Management : EDHEC Business School
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Interpretable Machine Learning: Duke University
  • Precalculus: Mathematical Modeling: Johns Hopkins University
  • Statistical Learning for Data Science: University of Colorado Boulder
  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • Incrementar - Parte 2 y Controlar: Tecnológico de Monterrey
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Machine Learning with PySpark: Edureka

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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