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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
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    I

    IBM

    Data Science with R - Capstone Project

    Skills you'll gain: Shiny (R Package), Data Presentation, Exploratory Data Analysis, Data Wrangling, Predictive Modeling, Tidyverse (R Package), Data Science, Data Collection, Interactive Data Visualization, Data Manipulation, Dashboard, Data Analysis, Data Cleansing, R Programming, Statistical Modeling, Regression Analysis, Ggplot2, Data Visualization, Data Transformation, Predictive Analytics

    4.6
    Rating, 4.6 out of 5 stars
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    105 reviews

    Intermediate · Course · 1 - 3 Months

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    C

    Coursera

    Advanced Appium: Scalable Mobile Test Automation

    Skills you'll gain: Test Automation, Jenkins, Mobile Development, Test Execution Engine, Testability, Application Frameworks, Test Case, Regression Testing, Continuous Integration, Debugging, Scalability, CI/CD, Test Engineering, Maintainability, Automation, Continuous Deployment, Cross Platform Development, Containerization

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    LearnQuest

    Introduction to Data Science and scikit-learn in Python

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Classification Algorithms, Data Preprocessing, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Data Structures

    3.7
    Rating, 3.7 out of 5 stars
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    52 reviews

    Beginner · Course · 1 - 4 Weeks

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    Universidad Nacional Autónoma de México

    Estadística y probabilidad

    Skills you'll gain: Descriptive Statistics, Data Analysis, Correlation Analysis, Statistical Analysis, Data Presentation, Statistical Visualization, Probability, Histogram, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Box Plots, Graphing, Scatter Plots

    4.6
    Rating, 4.6 out of 5 stars
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    1.7K reviews

    Beginner · Course · 1 - 4 Weeks

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    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

    Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Applied Machine Learning, AI Enablement, Data Ethics, Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, AI Workflows, Model Deployment, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
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    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
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    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    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
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    65 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    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

  • Status: Free Trial
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    U

    University of Michigan

    Statistics with Python

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Statistics, Matplotlib, Statistical Visualization, Statistical Software, Probability & Statistics, Model Evaluation, Statistical Analysis, Jupyter, Statistical Machine Learning, Statistical Programming, Regression Analysis, Data Visualization Software, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    3.3K reviews

    Beginner · Specialization · 1 - 3 Months

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    Amazon Web Services

    AWS Generative AI Lab Series

    Skills you'll gain: Amazon Bedrock, Prompt Engineering, Generative AI, AWS SageMaker, AI Enablement, Multimodal Prompts, LLM Application, Large Language Modeling, Application Development, Image Analysis, Real Time Data, Regression Analysis, Debugging

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    E

    Edureka

    Machine Learning with PySpark

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    R

    Rutgers the State University of New Jersey

    Supply Chain Analytics

    Skills you'll gain: Competitive Intelligence, Demand Planning, Strategic Sourcing, Competitive Analysis, Customer Demand Planning, Data Storytelling, Procurement, Supplier Management, Supply Chain, Regression Analysis, Supplier Performance Management, Inventory Control, Business Analytics, Data Collection, Supply Management, Supply Chain Management, Inventory Accounting, Business Intelligence, Strategic Decision-Making, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    2.3K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Data Science with R - Capstone Project: IBM
  • Advanced Appium: Scalable Mobile Test Automation: Coursera
  • Introduction to Data Science and scikit-learn in Python: LearnQuest
  • Estadística y probabilidad: Universidad Nacional Autónoma de México
  • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Design Thinking and Predictive Analytics for Data Products: University of California San Diego
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Statistics with Python: University of Michigan
  • AWS Generative AI Lab Series: Amazon Web Services

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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