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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


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    National Taiwan University

    商管統計資料分析一 (Analytics for Business and Management (I))

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Business Analytics, Analytics, Data Analysis, Statistics, Statistical Methods, Feature Engineering, Statistical Inference, Data Transformation, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Board Infinity

    Automation and Modern Testing Tools

    Skills you'll gain: Test Automation, Performance Testing, Software Testing, API Testing, Test Script Development, Security Testing, Test Tools, CI/CD, Regression Testing, JUnit, Selenium (Software), Scalability, Automation, Test Case, Application Programming Interface (API), Application Security

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    Tecnológico de Monterrey

    Incrementar - Parte 2 y Controlar

    Skills you'll gain: Lean Six Sigma, Lean Manufacturing, Statistical Process Controls, Quality Improvement, Quality Control, Continuous Improvement Process, Predictive Modeling, Production Process, Process Improvement, Kanban Principles, Problem Management, Regression Analysis, Root Cause Analysis, Statistical Modeling

    4.9
    Rating, 4.9 out of 5 stars
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    82 reviews

    Intermediate · Course · 1 - 4 Weeks

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    University of Colorado Boulder

    Data Mining Foundations and Practice

    Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Data Warehousing, Machine Learning Methods, Supervised Learning, Data Pipelines, Data Preprocessing, Classification Algorithms, Data Modeling, Decision Tree Learning, Data Science, Data Integration, Machine Learning Algorithms, Data Cleansing, Model Evaluation, Exploratory Data Analysis, Big Data, Analytical Skills, Data Analysis

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
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    167 reviews

    Intermediate · Specialization · 1 - 3 Months

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    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

    3.2
    Rating, 3.2 out of 5 stars
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    78 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
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    The Chinese University of Hong Kong

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

    Skills you'll gain: Model Evaluation, Regression Analysis, Statistical Modeling, Statistical Software, Statistical Analysis, Statistical Methods, Advanced Analytics, Correlation Analysis, Mathematical Modeling, Analysis, Exploratory Data Analysis, Econometrics, Research Methodologies, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    94 reviews

    Mixed · Course · 3 - 6 Months

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    Edureka

    PySpark for Data Science

    Skills you'll gain: PySpark, Data Pipelines, Dashboard, Data Processing, Data Storage Technologies, Data Visualization, Natural Language Processing, Data Analysis Expressions (DAX), Machine Learning Methods, Data Storage, Data Transformation, Machine Learning, Deep Learning, Logistic Regression

    2.7
    Rating, 2.7 out of 5 stars
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    11 reviews

    Intermediate · Specialization · 3 - 6 Months

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    EDUCBA

    AI Driven Machine Learning with Python

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    Deep Neural Network for Beginners Using Python

    Skills you'll gain: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Complete SAS Guide - Learn SAS and Become a Data Ninja

    Skills you'll gain: SAS (Software), Data Import/Export, Data Manipulation, Predictive Modeling, Statistical Analysis, SQL, Logistic Regression, Regression Analysis, R (Software), Data Analysis, Pandas (Python Package), Excel Macros, Statistical Hypothesis Testing, Software Installation, Data Cleansing, System Configuration

    Beginner · Course · 3 - 6 Months

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    Packt

    Python for Finance: Investment Fundamentals & Data Analytics

    Skills you'll gain: Portfolio Management, Risk Analysis, Investment Management, Time Series Analysis and Forecasting, Financial Modeling, Object Oriented Programming (OOP), Statistical Analysis, Simulations, Regression Analysis, Jupyter, Python Programming, Programming Principles, Pandas (Python Package), NumPy, Matplotlib, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
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    10 reviews

    Intermediate · Course · 3 - 6 Months

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    S.P. Jain Institute of Management and Research

    Data Analysis

    Skills you'll gain: Descriptive Statistics, Data Analysis, Analytics, Quantitative Research, Sampling (Statistics), Probability & Statistics, Business Analytics, Statistical Analysis, Regression Analysis, Data-Driven Decision-Making, Statistical Hypothesis Testing, Business Analysis, Microsoft Excel, Variance Analysis, Statistical Inference

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    22 reviews

    Beginner · Course · 1 - 3 Months

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

  • 商管統計資料分析一 (Analytics for Business and Management (I)): National Taiwan University
  • Automation and Modern Testing Tools: Board Infinity
  • Incrementar - Parte 2 y Controlar: Tecnológico de Monterrey
  • Data Mining Foundations and Practice: University of Colorado Boulder
  • Perform data science with Azure Databricks: Microsoft
  • Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话): The Chinese University of Hong Kong
  • PySpark for Data Science: Edureka
  • AI Driven Machine Learning with Python: EDUCBA
  • Deep Neural Network for Beginners Using Python: Packt
  • Complete SAS Guide - Learn SAS and Become a Data Ninja: Packt

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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