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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


  • P

    Peking University

    医学统计学与SPSS软件(基础篇)

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, SPSS (Software), Statistical Analysis, Biostatistics, Regression Analysis, Sampling (Statistics), Data Literacy, Correlation Analysis, Probability & Statistics, Quantitative Research, Data Manipulation, Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    159 reviews

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Fraud Detection on Financial Transactions with Machine Learning on Google Cloud

    Skills you'll gain: Fraud detection, Feature Engineering, Big Data, Anomaly Detection, Google Cloud Platform, Unsupervised Learning, Model Evaluation, Data Manipulation, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Machine Learning, Data Preprocessing

    4
    Rating, 4 out of 5 stars
    ·
    26 reviews

    Intermediate · Project · Less Than 2 Hours

  • 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
    ·
    9 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, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Data Analysis

    4
    Rating, 4 out of 5 stars
    ·
    96 reviews

    Beginner · Specialization · 3 - 6 Months

  • 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
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • U

    Universidade de São Paulo

    Econometria Básica Aplicada

    Skills you'll gain: Econometrics, Regression Analysis, Statistical Inference, Statistical Hypothesis Testing, Statistical Modeling, Statistical Analysis, Correlation Analysis, Economics, Probability & Statistics, Time Series Analysis and Forecasting, Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    173 reviews

    Intermediate · Course · 1 - 3 Months

  • 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
    ·
    196 reviews

    Advanced · Course · 1 - 3 Months

  • D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • S

    SAS

    Statistical Thinking for Industrial Problem Solving, presented by JMP

    Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistics, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    99 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Minnesota

    Introduction to Automated Analysis

    Skills you'll gain: Test Automation, Regression Testing, Software Testing, Software Development Tools, Unit Testing, White-Box Testing, Code Coverage, Security Testing, Verification And Validation, Test Case, Test Data, Debugging, Automation, Application Security

    4.2
    Rating, 4.2 out of 5 stars
    ·
    86 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • J

    Johns Hopkins University

    Mathematical Biostatistics Boot Camp 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Methods, Probability & Statistics, Statistical Inference, Biostatistics, Sampling (Statistics), Statistics, Data Analysis, Regression Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    138 reviews

    Mixed · Course · 1 - 4 Weeks

Searches related to logistic regression

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logistic regression in r for public health
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spss: apply & interpret logistic regression models
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predict ad clicks using logistic regression and xg-boost
1…303132…61

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

  • 医学统计学与SPSS软件(基础篇): Peking University
  • Fraud Detection on Financial Transactions with Machine Learning on Google Cloud: Google Cloud
  • Statistical Learning: Illinois Tech
  • Programming for Python Data Science: Principles to Practice: Duke University
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Econometria Básica Aplicada: Universidade de São Paulo
  • Machine Learning Capstone: IBM
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Statistical Thinking for Industrial Problem Solving, presented by JMP: SAS
  • Introduction to Automated Analysis: University of Minnesota

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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