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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.


More to explore:

Popular Logistic Regression Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Dealing With Missing Data

    Skills you'll gain: Sampling (Statistics), Data Cleansing, Statistical Software, Data Transformation, Data Quality, Statistical Analysis, STATA (Software), Statistical Methods, R (Software), Statistical Modeling, R Programming, Regression Analysis, Data Analysis

    3.8
    Rating, 3.8 out of 5 stars
    ·
    138 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    SAS

    Statistical Thinking for Industrial Problem Solving, presented by JMP

    Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistics, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    99 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 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, Supervised Learning, Predictive Modeling, Machine Learning, Data Preprocessing

    4
    Rating, 4 out of 5 stars
    ·
    26 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Design Thinking and Predictive Analytics for Data Products

    Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Predictive Analytics, Data Manipulation, Classification Algorithms, Applied Machine Learning, Design Thinking, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Cleansing, Data Preprocessing, Regression Analysis, Tensorflow, Statistical Methods, Logistic Regression

    4.5
    Rating, 4.5 out of 5 stars
    ·
    68 reviews

    Intermediate · Course · 1 - 3 Months

  • T

    The University of Sydney

    Introduction to Advanced Calculus

    Skills you'll gain: Advanced Mathematics, Integral Calculus, Calculus, Mathematical Theory & Analysis, Differential Equations, Applied Mathematics, Engineering Calculations, Mathematical Modeling, Linear Algebra, Physics, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Introduction to Software Quality Assurance

    Skills you'll gain: Software Quality Assurance, Software Development Life Cycle, Quality Assurance, Software Documentation, Functional Testing, Software Testing, Software Development Methodologies, Acceptance Testing, User Acceptance Testing (UAT), Test Case, Maintainability, Unit Testing, Software Design, System Testing, Integration Testing, Waterfall Methodology, Agile Methodology, Regression Testing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Applied Data Analytics

    Skills you'll gain: Power BI, Data Visualization, Data Analysis Expressions (DAX), Matplotlib, Plotly, Data Analysis, Exploratory Data Analysis, Seaborn, SQL, Pandas (Python Package), Probability & Statistics, Regression Analysis, Machine Learning, Statistical Hypothesis Testing, Python Programming, Data Transformation, Feature Engineering, Data Integration, NumPy, Web Scraping

    4.2
    Rating, 4.2 out of 5 stars
    ·
    26 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Machine Learning with PySpark

    Skills you'll gain: PySpark, Applied Machine Learning, Machine Learning, Logistic Regression

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Precalculus: Mathematical Modeling

    Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Analytical Skills, Statistics, Systems Of Measurement, Correlation Analysis, Regression Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    95 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Perform data science with Azure Databricks

    Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Processing, Deep Learning, Data Transformation, Model Deployment, Machine Learning Software, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis, Regression Analysis

    3.1
    Rating, 3.1 out of 5 stars
    ·
    79 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

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

  • Dealing With Missing Data: University of Maryland, College Park
  • Statistical Thinking for Industrial Problem Solving, presented by JMP: SAS
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Fraud Detection on Financial Transactions with Machine Learning on Google Cloud: Google Cloud
  • Design Thinking and Predictive Analytics for Data Products: University of California San Diego
  • Introduction to Advanced Calculus: The University of Sydney
  • Introduction to Software Quality Assurance: Board Infinity
  • Applied Data Analytics: Edureka
  • Machine Learning with PySpark: Edureka
  • Precalculus: Mathematical Modeling: Johns Hopkins University

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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