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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


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    Sungkyunkwan University

    The Fundamental of Data-Driven Investment

    Skills you'll gain: Portfolio Management, Portfolio Risk, Investment Management, Performance Analysis, R Programming, Time Series Analysis and Forecasting, Risk Analysis, Financial Analysis, Financial Modeling, Financial Data, Statistical Programming, Regression Analysis, Data Manipulation, Data Visualization

    4.4
    Rating, 4.4 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Data Mining Foundations and Practice

    Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Data Warehousing, Machine Learning Methods, Supervised Learning, Data Pipelines, Data Preprocessing, Classification Algorithms, Data Modeling, Decision Tree Learning, Data Science, Data Integration, Machine Learning Algorithms, Data Cleansing, Model Evaluation, Exploratory Data Analysis, Big Data, Analytical Skills, Data Analysis

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
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    167 reviews

    Intermediate · Specialization · 1 - 3 Months

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    Macquarie University

    Statistics and Data Analysis with Excel

    Skills you'll gain: Pivot Tables And Charts, Sample Size Determination, Data Visualization, Statistical Inference, Data Visualization Software, Statistical Hypothesis Testing, Statistics, Data-Driven Decision-Making, Microsoft Excel, Correlation Analysis, Descriptive Statistics, Probability & Statistics, Data Analysis, Forecasting, Regression Analysis, Business Analytics, Spreadsheet Software, Statistical Modeling, Statistical Visualization, Data Presentation

    4.7
    Rating, 4.7 out of 5 stars
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    61 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    SAS

    Machine Learning Using SAS Viya

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
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    102 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Board Infinity

    Essential Testing Techniques in Software Development

    Skills you'll gain: Software Testing, Test Case, Integration Testing, System Testing, Software Development Life Cycle, Acceptance Testing, Software Quality Assurance, Unit Testing, White-Box Testing, Regression Testing, Usability Testing

    4.6
    Rating, 4.6 out of 5 stars
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    23 reviews

    Beginner · Course · 1 - 4 Weeks

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    The University of Sydney

    Introduction to Advanced Calculus

    Skills you'll gain: Advanced Mathematics, Integral Calculus, Calculus, Mathematical Theory & Analysis, Differential Equations, Applied Mathematics, Engineering Calculations, Mathematical Modeling, Linear Algebra, Physics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
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    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Edureka

    PySpark for Data Science

    Skills you'll gain: PySpark, Data Pipelines, Dashboard, Data Processing, Data Storage Technologies, Data Visualization, Natural Language Processing, Data Analysis Expressions (DAX), Machine Learning Methods, Data Storage, Data Transformation, Machine Learning, Deep Learning, Logistic Regression

    2.7
    Rating, 2.7 out of 5 stars
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    11 reviews

    Intermediate · Specialization · 3 - 6 Months

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    E

    EDUCBA

    AI Driven Machine Learning with Python

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    Deep Neural Network for Beginners Using Python

    Skills you'll gain: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Predict Visitor Purchases with a Classification Model in BQML

    Skills you'll gain: Model Evaluation, Logistic Regression, Exploratory Data Analysis, Predictive Analytics, Analytics, E-Commerce, Big Data, Applied Machine Learning, Data Analysis, Classification Algorithms

    Intermediate · Project · Less Than 2 Hours

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    Packt

    Complete SAS Guide - Learn SAS and Become a Data Ninja

    Skills you'll gain: SAS (Software), Data Import/Export, Data Manipulation, Predictive Modeling, Statistical Analysis, SQL, Logistic Regression, Regression Analysis, R (Software), Data Analysis, Pandas (Python Package), Excel Macros, Statistical Hypothesis Testing, Software Installation, Data Cleansing, System Configuration

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Data Science Fundamentals

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

    4.3
    Rating, 4.3 out of 5 stars
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    258 reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to logistic regression

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logistic regression fundamentals: analyze & predict
logistic regression in r for public health
logistic regression and prediction for health data
logistic regression with sas: build & evaluate models
logistic regression with r: build & predict
python: logistic regression & supervised ml
spss: apply & interpret logistic regression models
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In summary, here are 10 of our most popular logistic regression courses

  • The Fundamental of Data-Driven Investment: Sungkyunkwan University
  • Data Mining Foundations and Practice: University of Colorado Boulder
  • Statistics and Data Analysis with Excel: Macquarie University
  • Machine Learning Using SAS Viya: SAS
  • Essential Testing Techniques in Software Development: Board Infinity
  • Introduction to Advanced Calculus: The University of Sydney
  • PySpark for Data Science: Edureka
  • AI Driven Machine Learning with Python: EDUCBA
  • Deep Neural Network for Beginners Using Python: Packt
  • Predict Visitor Purchases with a Classification Model in BQML: Google Cloud

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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