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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: Preview
    Preview
    J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Artificial Intelligence, Probability, Regression Analysis, Calculus, Mathematical Software, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Model Optimization, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction

    4.9
    Rating, 4.9 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDHEC Business School

    Python and Machine Learning for Asset Management

    Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Investments, Portfolio Risk, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Financial Modeling, Supervised Learning, Predictive Analytics, Market Data, Feature Engineering, Unsupervised Learning, Regression Analysis, Statistical Methods, Analysis, Estimation, Risk Analysis, Computer Science

    3.1
    Rating, 3.1 out of 5 stars
    ·
    332 reviews

    Intermediate · 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, Model Training, Supervised Learning, Predictive Modeling, Machine Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    28 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Codio

    Data Science and Analysis Tools - from Jupyter to R Markdown

    Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Scientific Visualization, Jupyter, Matplotlib, Statistical Visualization, Data Manipulation, R (Software), Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Statistical Methods, Data Analysis, R Programming, Python Programming

    4
    Rating, 4 out of 5 stars
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    26 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Quantitative Finance & Risk Modeling

    Skills you'll gain: Financial Modeling, Descriptive Statistics, Data Literacy, Financial Forecasting, Reconciliation, Financial Analysis, A/B Testing, Portfolio Risk, Model Evaluation, Data Cleansing, Classification And Regression Tree (CART), Regression Analysis, Exploratory Data Analysis, Predictive Modeling, Data Analysis, Risk Analysis, Risk Management, R Programming, Statistical Analysis, Machine Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Applied Machine Learning, Predictive Modeling, Data Presentation, Machine Learning, Collaborative Software, Data Analysis, Predictive Analytics, Technical Communication, Machine Learning Algorithms, Statistical Analysis, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Descriptive Statistics, Regression Analysis, Python Programming, Text Mining, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    217 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Principles of fMRI 2

    Skills you'll gain: Magnetic Resonance Imaging, Data Analysis, Correlation Analysis, Image Analysis, Statistical Analysis, Advanced Analytics, Network Analysis, Medical Imaging, Regression Analysis, Psychology, Time Series Analysis and Forecasting, Neurology, Statistical Modeling, Statistical Methods, Statistical Inference, Dimensionality Reduction, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    249 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Computational Methods in Pricing and Model Calibration

    Skills you'll gain: Regression Analysis, Derivatives, Financial Market, Statistical Methods, Market Data, Financial Modeling, Securities (Finance), Mathematical Modeling, Numerical Analysis, Equities, Model Optimization, Python Programming, Algorithms, Case Studies

    4.4
    Rating, 4.4 out of 5 stars
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    47 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Theoretical Computer Science, Classification Algorithms, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Model Evaluation, Autoencoders, Convolutional Neural Networks, Generative AI, Supervised Learning, Computer Science, Decision Tree Learning, Algorithms, Network Architecture

    4.6
    Rating, 4.6 out of 5 stars
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    62 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Applied Bayesian Data Analysis

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Predictive Analytics, Statistics, Regression Analysis, Predictive Modeling, Statistical Inference, Probability & Statistics, Mathematical Modeling, Model Evaluation, Data Analysis, Data Science, Statistical Machine Learning, Statistical Analysis, Statistical Programming, Markov Model, Probability Distribution, Sampling (Statistics), Machine Learning, Python Programming

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    Universidad Austral

    Introducción al Aprendizaje Profundo

    Skills you'll gain: Supervised Learning, Deep Learning, Machine Learning Methods, Artificial Neural Networks, Applied Machine Learning, Model Optimization, Logistic Regression, Classification Algorithms, Model Training, Regression Analysis

    4.3
    Rating, 4.3 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Classification Trees in Python, From Start To Finish

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Evaluation, Model Training

    4.6
    Rating, 4.6 out of 5 stars
    ·
    233 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Foundational Mathematics for AI: Johns Hopkins University
  • Python and Machine Learning for Asset Management: EDHEC Business School
  • Fraud Detection on Financial Transactions with Machine Learning on Google Cloud: Google Cloud
  • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
  • Quantitative Finance & Risk Modeling: Coursera
  • Machine Learning Capstone: IBM
  • Principles of fMRI 2: Johns Hopkins University
  • Computational Methods in Pricing and Model Calibration: Columbia University
  • 人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
  • Applied Bayesian Data Analysis: University of Pittsburgh

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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