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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
    M

    Meta

    Statistics Foundations

    Skills you'll gain: Bayesian Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Data Modeling, Statistics, Probability & Statistics, Statistical Analysis, Statistical Methods, Statistical Modeling, Marketing Analytics, Tableau Software, Data Analysis, Spreadsheet Software, Analytics, Time Series Analysis and Forecasting, Regression Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    379 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
    ·
    188 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics Capstone

    Skills you'll gain: Data Visualization, Regression Analysis, Data Storytelling, Advanced Analytics, Statistical Analysis, Data Analysis, Business Analysis, Project Design, Python Programming, Machine Learning Methods, Artificial Intelligence, Machine Learning, Portfolio Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Data Analytics Methods for Marketing

    Skills you'll gain: Marketing Analytics, Marketing Effectiveness, A/B Testing, Target Audience, Marketing Strategies, Marketing, Marketing Channel, Marketing Budgets, Customer Insights, Sales Process, Regression Analysis, Forecasting, Data Analysis, Return On Investment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    288 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    Preview
    C

    Coursera

    Robot Framework Test Automation Essentials

    Skills you'll gain: Test Script Development, Selenium (Software)

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    SAS Statistical Business Analyst

    Skills you'll gain: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Classification And Regression Tree (CART), Big Data, Plot (Graphics), Data Analysis, Model Deployment, Statistical Inference, Data Preprocessing, Statistical Machine Learning, Feature Engineering

    4.6
    Rating, 4.6 out of 5 stars
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    227 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Advanced Statistical Techniques for Data Science

    Skills you'll gain: Model Evaluation, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Exploratory Data Analysis, Data Cleansing, Regression Analysis, Analytics, Data Analysis, Logistic Regression, Machine Learning, R Programming, Data Preprocessing, Statistical Modeling, Data Validation, R (Software), Data Mining, Statistical Programming, Predictive Modeling

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    45 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Big Data

    Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Preprocessing, Data Presentation, Scalability, Data Processing, MongoDB

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.1K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Methods and Statistics in Social Sciences

    Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Research Design, Sampling (Statistics), Research Reports, Science and Research, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Statistics, Regression Analysis, Statistical Inference, R Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.8K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Statistics Foundations: Meta
  • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
  • Google Advanced Data Analytics Capstone: Google
  • Data Analytics Methods for Marketing: Meta
  • Robot Framework Test Automation Essentials: Coursera
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • SAS Statistical Business Analyst: SAS
  • Advanced Statistical Techniques for Data Science: Illinois Tech
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Big Data: University of California San Diego

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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