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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


  • E

    Emory University

    Math for MBA and GMAT Prep

    Skills you'll gain: Regression Analysis, Data Visualization, Business Mathematics, Descriptive Statistics, Microsoft Excel, Statistics, Business Analytics, Excel Formulas, Statistical Analysis, Algebra, Calculus, Arithmetic, Business

    4.3
    Rating, 4.3 out of 5 stars
    ·
    51 reviews

    Beginner · Course · 1 - 3 Months

  • M

    Macquarie University

    Statistics and Data Analysis with Excel: Advanced

    Skills you'll gain: Data-Driven Decision-Making, Microsoft Excel, Forecasting, Regression Analysis, Business Analytics, Excel Formulas, Statistical Analysis, Data Analysis Software, Time Series Analysis and Forecasting, Spreadsheet Software, Pivot Tables And Charts, Analytics, Statistical Methods, Advanced Analytics, Data Analysis, Statistics, Productivity Software, Data Visualization Software, Probability & Statistics, Statistical Inference

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Columbia University

    Computational Methods in Pricing and Model Calibration

    Skills you'll gain: Regression Analysis, Actuarial Science, Derivatives, Financial Market, Statistical Methods, Market Data, Financial Modeling, Securities (Finance), Risk Modeling, Financial Systems, Mathematical Modeling, Numerical Analysis, Applied Mathematics, Python Programming, Process Optimization, Probability Distribution, Algorithms, Case Studies

    4.4
    Rating, 4.4 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Statistics and Applied Data Analysis

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    46 reviews

    Beginner · Specialization · 3 - 6 Months

  • 2

    28DIGITAL

    Data Science for Business Innovation

    Skills you'll gain: Data Strategy, Data-Driven Decision-Making, Big Data, Data Science, NoSQL, Data Modeling, Data Storage Technologies, Analytics, Business Analytics, Data Analysis, Risking, Machine Learning, Unsupervised Learning, Regression Analysis, Descriptive Analytics, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    272 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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
    ·
    291 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    81 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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, Data Manipulation, Regression Analysis, Statistical Modeling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Intermediate · 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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    83 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

    Skills you'll gain: Feature Engineering, Responsible AI, Model Deployment, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Data Cleansing, Supervised Learning, Data Preprocessing, Dataflow, Artificial Neural Networks, Model Evaluation, Logistic Regression, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    448 reviews

    Intermediate · Specialization · 3 - 6 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

  • E

    Emory University

    Marketing Analytics Capstone Project

    Skills you'll gain: Marketing Analytics, Exploratory Data Analysis, Model Evaluation, Business Analysis, Predictive Modeling, Logistic Regression, Analytical Skills, Regression Analysis, Data Analysis, Data Preprocessing, Data Visualization

    4.4
    Rating, 4.4 out of 5 stars
    ·
    30 reviews

    Mixed · Course · 1 - 3 Months

Searches related to logistic regression

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1…323334…61

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

  • Math for MBA and GMAT Prep: Emory University
  • Statistics and Data Analysis with Excel: Advanced: Macquarie University
  • Computational Methods in Pricing and Model Calibration: Columbia University
  • Statistics and Applied Data Analysis: University of Colorado Boulder
  • Data Science for Business Innovation: 28DIGITAL
  • Microsoft Azure Machine Learning: Microsoft
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Foundations of Machine Learning: Coursera
  • Introduction to Internet of Things: IIT Bombay
  • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud

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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