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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
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    N

    New York University

    Fundamentals of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks

    3.7
    Rating, 3.7 out of 5 stars
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    341 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    M

    Microsoft

    Microsoft Azure Machine Learning

    Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning

    4.4
    Rating, 4.4 out of 5 stars
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    289 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Macquarie University

    Statistics and Data Analysis with Excel: Advanced

    Skills you'll gain: Data-Driven Decision-Making, Microsoft Excel, Forecasting, Regression Analysis, Business Analytics, Excel Formulas, Statistical Analysis, Data Analysis Software, Time Series Analysis and Forecasting, Spreadsheet Software, Pivot Tables And Charts, Analytics, Statistical Methods, Advanced Analytics, Data Analysis, Statistics, Productivity Software, Data Visualization Software, Probability & Statistics, Statistical Inference

    4.7
    Rating, 4.7 out of 5 stars
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    32 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    C

    Corporate Finance Institute

    Practical Data Science for Data Analysts

    Skills you'll gain: Classification Algorithms, Data Preprocessing, Feature Engineering, Model Evaluation, Data Import/Export, Matplotlib, Data Science, Regression Analysis, Financial Data, Data Analysis, Exploratory Data Analysis, Business Analytics, Data Cleansing, Pandas (Python Package), Machine Learning Algorithms, Statistical Visualization, Financial Analysis, Statistical Modeling, Statistical Analysis, Predictive Analytics

    4.8
    Rating, 4.8 out of 5 stars
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    30 reviews

    Advanced · Specialization · 3 - 6 Months

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    E

    Emory University

    Math for MBA and GMAT Prep

    Skills you'll gain: Regression Analysis, Data Visualization, Business Mathematics, Descriptive Statistics, Microsoft Excel, Business Analytics, Statistics, Excel Formulas, Statistical Analysis, Algebra, Calculus, Arithmetic, Business

    4.3
    Rating, 4.3 out of 5 stars
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    51 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Computational Methods in Pricing and Model Calibration

    Skills you'll gain: Regression Analysis, Actuarial Science, Derivatives, Financial Market, Statistical Methods, Market Data, Financial Modeling, Securities (Finance), Risk Modeling, Financial Systems, Mathematical Modeling, Numerical Analysis, Applied Mathematics, Python Programming, Process Optimization, Probability Distribution, Algorithms, Case Studies

    4.4
    Rating, 4.4 out of 5 stars
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    43 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    E

    Emory University

    Forecasting Models for Marketing Decisions

    Skills you'll gain: Customer Analysis, Customer Demand Planning, Marketing Analytics, Forecasting, Consumer Behaviour, Marketing Effectiveness, Model Evaluation, Time Series Analysis and Forecasting, Microsoft Excel, Marketing, Regression Analysis, Customer Acquisition Management, Customer Retention

    4.3
    Rating, 4.3 out of 5 stars
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    80 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Introduction to Artificial Intelligence

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Applied Machine Learning, Deep Learning, Responsible AI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Regression Analysis, Law, Regulation, and Compliance, Classification Algorithms, Business Ethics, Governance

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    60 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    W

    Wesleyan University

    Machine Learning for Data Analysis

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Data Mining, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Statistical Analysis, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
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    328 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming

    4
    Rating, 4 out of 5 stars
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    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Statistical Learning

    Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Model Evaluation, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Feature Engineering, Logistic Regression, Decision Tree Learning, Classification Algorithms

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Mining, Predictive Modeling, Machine Learning, Technical Communication, Scikit Learn (Machine Learning Library), Regression Analysis, Artificial Neural Networks, Deep Learning, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    196 reviews

    Advanced · Course · 1 - 3 Months

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

  • Fundamentals of Machine Learning in Finance: New York University
  • Microsoft Azure Machine Learning: Microsoft
  • Statistics and Data Analysis with Excel: Advanced: Macquarie University
  • Practical Data Science for Data Analysts: Corporate Finance Institute
  • Math for MBA and GMAT Prep: Emory University
  • Computational Methods in Pricing and Model Calibration: Columbia University
  • Forecasting Models for Marketing Decisions: Emory University
  • Introduction to Artificial Intelligence: University of Illinois Urbana-Champaign
  • Machine Learning for Data Analysis: Wesleyan University
  • Introduction to Computational Statistics for Data Scientists: Databricks

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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