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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
    D

    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, AI Security, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, AI Product Strategy, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Applied Machine Learning, Logistic Regression, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Data Literacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    80 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Michigan

    Foundations of Sports Analytics: Data, Representation, and Models in Sports

    Skills you'll gain: Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Data Preprocessing, Matplotlib, Data Visualization, Statistical Analysis, Scatter Plots, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    204 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Feature Engineering, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Deep Learning, Classification Algorithms, Machine Learning, Applied Machine Learning, Decision Tree Learning, Artificial Neural Networks, Model Evaluation, Dimensionality Reduction, Logistic Regression, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    35 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Precalculus through Data and Modelling

    Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, R (Software), Analytical Skills, General Mathematics, Statistics, Algebra, Systems Of Measurement, Correlation Analysis, Regression Analysis, Calculus, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    321 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    ESSEC Business School

    Strategic Business Analytics

    Skills you'll gain: Marketing Analytics, Business Analytics, Forecasting, Peer Review, Statistical Methods, Data Presentation, Predictive Analytics, Customer Analysis, Case Studies, Information Technology, Analytical Skills, Digital Transformation, Business Marketing, Advanced Analytics, Statistical Analysis, Communication, Customer Insights, Complex Problem Solving, R Programming, Data Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.3K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Practical Data Science with MATLAB

    Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Supervised Learning, Dimensionality Reduction, Data Visualization, Data Integration, Data Preprocessing, Interactive Data Visualization, Exploratory Data Analysis, Data Import/Export, Classification Algorithms, Technical Communication, Data Analysis, Plot (Graphics), Applied Machine Learning, Data Visualization Software, Matlab, Regression Analysis, Data Science

    4.8
    Rating, 4.8 out of 5 stars
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    1.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Transfer Learning, Machine Learning, Tensorflow

    4.5
    Rating, 4.5 out of 5 stars
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    329 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Virginia

    Cost and Economics in Pricing Strategy

    Skills you'll gain: Price Negotiation, Market Dynamics, Product Strategy, Revenue Management, Cost Accounting, Economics, Demand Planning, Cost Benefit Analysis, Consumer Behaviour, Case Studies, Marketing Channel, Customer Analysis, Regression Analysis, Competitive Analysis, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
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    694 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Business Statistics and Analysis Capstone

    Skills you'll gain: Business Analytics, Statistical Methods, Statistical Analysis, Data Analysis, Data Presentation, Statistical Reporting, Analytical Skills, Technical Communication, Predictive Analytics, Exploratory Data Analysis, Regression Analysis, Microsoft Excel

    4.7
    Rating, 4.7 out of 5 stars
    ·
    440 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Quantitative Research

    Skills you'll gain: Surveys, Statistical Hypothesis Testing, Quantitative Research, Statistical Analysis, Marketing Analytics, Market Research, Data Analysis, Marketing, Target Market, Market Analysis, Regression Analysis, Sample Size Determination, Quality Control

    4.4
    Rating, 4.4 out of 5 stars
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    344 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Data Science, Probability & Statistics, Dimensionality Reduction, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Modern Data Analytics with Python, Excel & Generative AI

    Skills you'll gain: Business Intelligence, Excel Macros, Pandas (Python Package), Prompt Engineering, Forecasting, Data Storytelling, Time Series Analysis and Forecasting, Regression Analysis, Data Quality, Responsible AI, ChatGPT, Microsoft Excel, Data Analysis, Report Writing, Interactive Data Visualization, Data Modeling, Generative AI, Data Visualization, Exploratory Data Analysis, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    440 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Explainable AI (XAI): Duke University
  • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • Precalculus through Data and Modelling: Johns Hopkins University
  • Strategic Business Analytics: ESSEC Business School
  • Practical Data Science with MATLAB: MathWorks
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • Cost and Economics in Pricing Strategy: University of Virginia
  • Business Statistics and Analysis Capstone: Rice University
  • Quantitative Research: University of California, Davis

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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