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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


  • C

    Coursera

    Modern Data Analytics with Python, Excel & Generative AI

    Skills you'll gain: Business Intelligence, Excel Macros, Pandas (Python Package), Prompt Engineering, Forecasting, Data Storytelling, Time Series Analysis and Forecasting, Regression Analysis, Data Quality, Responsible AI, ChatGPT, Microsoft Excel, Data Analysis, Report Writing, Interactive Data Visualization, Data Modeling, Generative AI, Data Visualization, Exploratory Data Analysis, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    479 reviews

    Intermediate · Specialization · 3 - 6 Months

  • T

    The Hong Kong University of Science and Technology

    Matrix Algebra for Engineers

    Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Applied Mathematics

    4.9
    Rating, 4.9 out of 5 stars
    ·
    4.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Classification Algorithms, Machine Learning Methods, Model Training, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Data Validation, Regression Analysis, Feature Engineering, Statistical Methods, Model Optimization, Verification And Validation, Linear Algebra, Data Transformation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Machine Learning Algorithms, Data Pipelines, Data Transformation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    178 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Washington

    Social Media Data Analytics

    Skills you'll gain: Social Media Analytics, Text Mining, Unstructured Data, Quantitative Research, Data Visualization, Statistical Analysis, Analysis, Data Presentation, Data Analysis, Statistical Methods, Data Mining, Analytics, Statistical Programming, Correlation Analysis, R (Software), Application Programming Interface (API), R Programming, Regression Analysis, Data Collection, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    298 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Statistics, Statistical Analysis, Probability & Statistics, Regression Analysis, Data Analysis, R Programming, R (Software), Statistical Software, Probability, Predictive Modeling, Model Evaluation, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Precalculus through Data and Modelling

    Skills you'll gain: Data Literacy, Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, R (Software), R Programming, General Mathematics, Data Modeling, Algebra, Systems Of Measurement, Mathematical Software, Correlation Analysis, Regression Analysis, Calculus, Business Mathematics, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    323 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Illinois Urbana-Champaign

    Inferential and Predictive Statistics for Business

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Business Analytics, Statistics, Statistical Analysis, Analytics, Microsoft Excel, Statistical Modeling, Probability & Statistics, Statistical Methods, Predictive Analytics, Statistical Software, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Predictive Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    877 reviews

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Training, Transfer Learning, Databricks, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Data Analysis with R

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Analysis, Model Evaluation, Data Transformation, R Programming, Data Visualization, Regression Analysis, Predictive Modeling, Statistical Methods, R (Software), Data Manipulation, Plot (Graphics), Data Science, Box Plots, Statistical Visualization, Correlation Analysis, Model Training, Tidyverse (R Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    371 reviews

    Intermediate · Course · 1 - 3 Months

  • R

    Rutgers the State University of New Jersey

    Demand Analytics

    Skills you'll gain: Demand Planning, Customer Demand Planning, Regression Analysis, Data Collection, Supply Chain Planning, Statistical Analysis, Forecasting, Statistical Modeling, Marketing Analytics, Feature Engineering, Predictive Analytics, Trend Analysis, Predictive Modeling, Time Series Analysis and Forecasting, Data Preprocessing, Exploratory Data Analysis, Scatter Plots, Model Evaluation, Data Visualization, Data Visualization Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    299 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Statistical Modeling, Python Programming, Supervised Learning, Machine Learning, Data Processing, Agentic systems, Artificial Intelligence, Algorithms, AI literacy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    49 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Modern Data Analytics with Python, Excel & Generative AI: Coursera
  • Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Social Media Data Analytics: University of Washington
  • Bayesian Statistics: Duke University
  • Precalculus through Data and Modelling: Johns Hopkins University
  • Inferential and Predictive Statistics for Business: University of Illinois Urbana-Champaign
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • Data Analysis with R: IBM

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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