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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


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Modeling Data in the Tidyverse

    Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Data Preprocessing, Statistical Methods, Model Evaluation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Analyzing Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Recurrent Neural Networks (RNNs), Feature Engineering, Statistical Analysis, Data Analysis, Digital Signal Processing, Statistical Methods, Regression Analysis, Data Transformation, Exploratory Data Analysis, Machine Learning Methods, Predictive Modeling, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Data Preprocessing, Bayesian Statistics, Model Evaluation

    5
    Rating, 5 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modeling and Predicting Climate Anomalies

    Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Data Science, Environmental Policy, Data Analysis, Energy and Utilities, Data Visualization, Pandas (Python Package), Supervised Learning, Climate Change Mitigation, Anomaly Detection, Environment, International Relations

    4.4
    Rating, 4.4 out of 5 stars
    ·
    13 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks

    3.6
    Rating, 3.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with R

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Data Literacy, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Linear Algebra for Data Science Using Python

    Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Applied Mathematics, Data Preprocessing, Statistical Modeling, Jupyter, Data Analysis, Machine Learning Methods, Mathematical Modeling, Algebra, Exploratory Data Analysis, Python Programming, Model Evaluation, Statistical Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    33 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    M

    MathWorks

    Data Science Companion

    Skills you'll gain: Data Science, Data Processing, Applied Machine Learning, Machine Learning, Geographic Information Systems, Big Data, Data Visualization, Data Analysis, Data Integration, Amazon Web Services, Cloud Computing, Matlab, Data Cleansing, Regression Analysis, Classification Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    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
    ·
    102 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Probability and Statistics

    Skills you'll gain: Data Analysis, Statistical Analysis, Data Visualization, Predictive Modeling, Applied Mathematics

    3.9
    Rating, 3.9 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    T

    The Chinese University of Hong Kong

    Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)

    Skills you'll gain: Model Evaluation, SPSS, Statistical Modeling, Regression Analysis, Statistical Analysis, Exploratory Data Analysis, Social Sciences, Quantitative Research, Correlation Analysis, Data Analysis Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Mixed · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Business Modeling Tools

    Skills you'll gain: Regression Analysis, Financial Modeling, Business Modeling, Business Analytics, Statistical Analysis, Spreadsheet Software, Forecasting, Data Analysis, Microsoft Excel, Predictive Modeling, Business Strategy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to logistic regression

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1…454647…60

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

  • Modeling Data in the Tidyverse: Johns Hopkins University
  • Analyzing Time Series and Sequential Data: SAS
  • Modeling and Predicting Climate Anomalies: University of Colorado Boulder
  • Applied Machine Learning: Johns Hopkins University
  • Statistics and Data Analysis with R: University of Colorado Boulder
  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Linear Algebra for Data Science Using Python: Howard University
  • Data Science Companion: MathWorks
  • Machine Learning Using SAS Viya: SAS
  • Probability and Statistics: Birla Institute of Technology & Science, Pilani

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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