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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


  • A

    Arizona State University

    Modern Statistical Computing and Regression Modeling in R

    Skills you'll gain: Data Storage Technologies, Probability & Statistics, Statistics, Data Store, Mathematical Software, Data Storage, Data Access, Database Software, Data Manipulation, Data Transformation, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • E

    EDUCBA

    Analyze and Predict Prices Using Regression Techniques

    Skills you'll gain: Model Evaluation, Predictive Analytics, Predictive Modeling, Feature Engineering, Regression Analysis, Analytics, Data Analysis, Data Preprocessing, Data Quality, Data Cleansing, Data Integrity, Data Wrangling, Model Training, Data Validation, Data Transformation

    Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    Graduate Admission Prediction with Pyspark ML

    Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Apache Spark, Data Analysis, Applied Machine Learning, Predictive Modeling, Predictive Analytics, Big Data, Machine Learning, Regression Analysis, Model Training

    4.7 stars, 34 reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.7 (34) · Intermediate · Guided Project · Less Than 2 Hours

  • C

    CertNexus

    Build Regression, Classification, and Clustering Models

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Training, Unsupervised Learning, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Model Optimization, Machine Learning Methods, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Performance Tuning

    4.5 stars, 21 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.5 (21) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Responsible AI, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction

    4.9 stars, 5.7K reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.9 (5.7K) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    Imperial College London

    Survival Analysis in R for Public Health

    Skills you'll gain: Biostatistics, Statistical Analysis, R (Software), R Programming, Statistical Methods, Data Wrangling, Regression Analysis, Exploratory Data Analysis, Statistical Software, Data Analysis, Logistic Regression, Probability & Statistics, Statistical Modeling, Descriptive Statistics, Model Evaluation, Public Health

    4.5 stars, 331 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.5 (331) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Regression Analysis, Tensorflow, Supervised Learning, Deep Learning, Predictive Modeling, Machine Learning, Statistical Methods, Data Processing, Probability & Statistics

    4.4 stars, 1.9K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.4 (1.9K) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7 stars, 3.8K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.7 (3.8K) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Transfer Learning, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Model Evaluation, Computer Vision, Classification Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Methods

    4.5 stars, 106 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.5 (106) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Logistic Regression, Feature Engineering

    4.6 stars, 4.6K reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.6 (4.6K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • S

    Sage Publications

    Statistics for Politics & International Relations with SPSS

    Skills you'll gain: Statistical Reporting, Plot (Graphics), SPSS, Data Visualization, Correlation Analysis, Statistical Visualization, Descriptive Statistics, Regression Analysis, Research Reports, Report Writing, Histogram, Social Sciences, Political Sciences, Data Entry, Data Visualization Software, Scatter Plots, Statistical Inference, Data Analysis, International Relations, IBM Cloud

    Beginner · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • U

    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Advanced Analytics, Data Analysis, Logistic Regression, Exploratory Data Analysis, Dependency Analysis, Python Programming, Data Visualization Software

    4.4 stars, 718 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.4 (718) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
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In summary, here are 10 of our most popular logistic regression courses

  • Modern Statistical Computing and Regression Modeling in R: Arizona State University
  • Analyze and Predict Prices Using Regression Techniques: EDUCBA
  • Graduate Admission Prediction with Pyspark ML: Coursera
  • Build Regression, Classification, and Clustering Models: CertNexus
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Survival Analysis in R for Public Health: Imperial College London
  • Introduction to Neural Networks and PyTorch: IBM
  • Introduction to Machine Learning: Duke University
  • Deep Learning with PyTorch: IBM
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI

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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