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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


  • U

    Universidade de São Paulo

    Econometria Básica Aplicada

    Skills you'll gain: Econometrics, Statistical Inference, Regression Analysis, Statistical Hypothesis Testing, Economics, Statistical Analysis, Correlation Analysis, Mathematical Modeling, Time Series Analysis and Forecasting, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    173 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Programming for Python Data Science: Principles to Practice

    Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Data Preprocessing, Exploratory Data Analysis, Predictive Modeling, Data Analysis

    4
    Rating, 4 out of 5 stars
    ·
    98 reviews

    Beginner · Specialization · 3 - 6 Months

  • 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
    ·
    293 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IIT Bombay

    Introduction to Internet of Things

    Skills you'll gain: Internet Of Things, Network Protocols, Wireless Networks, Emerging Technologies, Data Analysis, Communication Systems, Digital Signal Processing, Scikit Learn (Machine Learning Library), Regression Analysis, Pandas (Python Package), Unsupervised Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    84 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Regression Analysis, Data Manipulation, Statistical Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Dartmouth College

    Machine Learning Fundamentals

    Skills you'll gain: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Machine Learning, Machine Learning Algorithms, Classification Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

    Build toward a degree

    3.8
    Rating, 3.8 out of 5 stars
    ·
    12 reviews

    Beginner · Specialization · 1 - 3 Months

  • S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    104 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • O

    O.P. Jindal Global University

    Econometrics - Theory and Practice

    Skills you'll gain: Econometrics, Regression Analysis, Probability & Statistics, Statistical Modeling, Statistical Analysis, Correlation Analysis, Time Series Analysis and Forecasting, Economics, Statistical Inference, Probability Distribution, Logistic Regression, Model Evaluation

    Build toward a degree

    Beginner · Course · 1 - 3 Months

  • E

    ESSEC Business School

    Foundations of marketing analytics

    Skills you'll gain: Marketing Analytics, Customer Analysis, Business Marketing, Business Analytics, Customer Insights, R Programming, Data-Driven Decision-Making, Data Analysis Software, Target Market, Statistical Analysis, Statistical Modeling, Predictive Modeling, Customer Relationship Management, Statistical Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    762 reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Colorado System

    Data Science for Marketing

    Skills you'll gain: Marketing Analytics, Classification And Regression Tree (CART), Probability & Statistics, AI Personalization, Statistical Software, Statistical Methods, Regression Analysis, Model Evaluation, Data-Driven Decision-Making, Data Ethics, Unsupervised Learning, Statistical Modeling, Data Visualization, Customer Analysis, Statistical Analysis, Predictive Analytics, Anomaly Detection, Advanced Analytics, Bayesian Network, Machine Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    16 reviews

    Intermediate · Specialization · 3 - 6 Months

  • E

    EDHEC Business School

    Python and Machine Learning for Asset Management

    Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Portfolio Risk, Machine Learning, Applied Machine Learning, Financial Market, Financial Modeling, Supervised Learning, Predictive Analytics, Unsupervised Learning, Regression Analysis, Statistical Methods, Jupyter, Computer Science, Dimensionality Reduction

    3.1
    Rating, 3.1 out of 5 stars
    ·
    332 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Econometria Básica Aplicada: Universidade de São Paulo
  • Programming for Python Data Science: Principles to Practice: Duke University
  • Microsoft Azure Machine Learning: Microsoft
  • Introduction to Internet of Things: IIT Bombay
  • Foundations of Machine Learning: Coursera
  • Machine Learning Fundamentals: Dartmouth College
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
  • SAS Machine Learning Engineer: SAS
  • Econometrics - Theory and Practice: O.P. Jindal Global University
  • Foundations of marketing analytics: ESSEC Business School

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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