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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: New
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    EDUCBA

    Spark and Python for Big Data with PySpark

    Skills you'll gain: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Unsupervised Learning, Apache, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    60 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Emory University

    Forecasting Models for Marketing Decisions

    Skills you'll gain: Customer Analysis, Customer Demand Planning, Marketing Analytics, Forecasting, Consumer Behaviour, Marketing Effectiveness, Model Evaluation, Time Series Analysis and Forecasting, Microsoft Excel, Marketing, Regression Analysis, Customer Acquisition Management, Customer Retention

    4.3
    Rating, 4.3 out of 5 stars
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    80 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Data Science Essentials: Analysis, Statistics, and ML

    Skills you'll gain: Plotly, Model Evaluation, NumPy, Plot (Graphics), Dashboard, Statistics, Pandas (Python Package), Data Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Python Programming, Analytics, Probability & Statistics, Statistical Methods, Applied Machine Learning, Probability, Data Science, Statistical Modeling, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
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    26 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Simplilearn

    Business Analytics using Excel

    Skills you'll gain: Data Visualization, Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Dashboard, Excel Macros, Data Analysis, Analytics, Data Cleansing, Regression Analysis, Descriptive Statistics

    4.5
    Rating, 4.5 out of 5 stars
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    35 reviews

    Beginner · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Foundational Mathematics for AI

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

    4.9
    Rating, 4.9 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 3 Months

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    Illinois Tech

    Introduction to Data Science Techniques

    Skills you'll gain: Statistical Analysis, Time Series Analysis and Forecasting, Data Analysis, Model Evaluation, Data Visualization, Exploratory Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Data Cleansing, Analytics, Regression Analysis, R Programming, Statistical Software, Forecasting, Data Preprocessing, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
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    21 reviews

    Intermediate · Specialization · 3 - 6 Months

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    University of Illinois Urbana-Champaign

    Machine Learning Algorithms with Python in Business Analytics

    Skills you'll gain: Classification Algorithms, Business Analytics, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Business Intelligence, Predictive Modeling, Machine Learning, Python Programming, Decision Tree Learning, Supervised Learning, Model Evaluation

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    40 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    Universidad Austral

    Introducción al Aprendizaje Profundo

    Skills you'll gain: Supervised Learning, Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Logistic Regression, Artificial Intelligence and Machine Learning (AI/ML), Classification Algorithms, Linear Algebra, Regression Analysis

    4.2
    Rating, 4.2 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Pillar #3: Drug Effectiveness - Real-World Evidence

    Skills you'll gain: Clinical Research, Clinical Trials, Pharmacology, Data Collection, Epidemiology, Scientific Methods, Statistical Methods, Analytical Skills, Regression Analysis, Real Time Data

    4.5
    Rating, 4.5 out of 5 stars
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    13 reviews

    Mixed · Course · 1 - 4 Weeks

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    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

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

    4.2
    Rating, 4.2 out of 5 stars
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    30 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    L

    LearnQuest

    Demand Forecasting Using Time Series

    Skills you'll gain: Time Series Analysis and Forecasting, Trend Analysis, Data Visualization, Customer Demand Planning, Regression Analysis, Matplotlib, Forecasting, Predictive Modeling, Correlation Analysis, Supply Chain Management, Data Analysis, Pandas (Python Package), Statistical Modeling, Machine Learning, Python Programming

    3.3
    Rating, 3.3 out of 5 stars
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    39 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Statistical Analysis, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    23 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Spark and Python for Big Data with PySpark: EDUCBA
  • Forecasting Models for Marketing Decisions: Emory University
  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • Business Analytics using Excel: Simplilearn
  • Foundational Mathematics for AI: Johns Hopkins University
  • Introduction to Data Science Techniques: Illinois Tech
  • Machine Learning Algorithms with Python in Business Analytics: University of Illinois Urbana-Champaign
  • Introducción al Aprendizaje Profundo: Universidad Austral
  • Pillar #3: Drug Effectiveness - Real-World Evidence: Johns Hopkins University
  • Machine Learning with TensorFlow on Google Cloud en Français: 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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