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  • Regression Models

Regression Models Courses

Regression models courses can help you learn statistical analysis, hypothesis testing, and data visualization techniques. You can build skills in interpreting coefficients, assessing model fit, and performing variable selection. Many courses introduce tools like R, Python, and Excel, that support implementing regression techniques and analyzing data sets.


Popular Regression Models Courses and Certifications


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    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Scikit Learn (Machine Learning Library)

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    3.7K reviews

    Mixed · Course · 1 - 3 Months

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    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Supervised Learning, Feature Engineering, Classification Algorithms, Data Cleansing, Statistical Inference, Data Preprocessing, Data Access, Applied Machine Learning, Statistical Methods, Model Evaluation, Data Quality, Probability & Statistics, Data Analysis, Machine Learning Algorithms, Regression Analysis, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

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    IBM

    Introduction to Cloud Computing

    Skills you'll gain: Cloud Deployment, Cloud Computing Architecture, Cloud Services, Cloud Infrastructure, Cloud Computing, Cloud Storage, Cloud Security, Public Cloud, Infrastructure As A Service (IaaS), Software As A Service, Serverless Computing, Virtual Machines, Hybrid Cloud Computing, Platform As A Service (PaaS), Microservices, DevOps

    4.6
    Rating, 4.6 out of 5 stars
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    7.6K reviews

    Beginner · Course · 1 - 3 Months

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    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Decision Tree Learning, Supervised Learning, Data Preprocessing, Probability & Statistics, Model Evaluation, Statistics, SAS (Software), Machine Learning Software, Predictive Modeling, Classification And Regression Tree (CART), Workflow Management, Data Analysis, Random Forest Algorithm, Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    103 reviews

    Advanced · Professional Certificate · 3 - 6 Months

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    IBM

    Tools for Data Science

    Skills you'll gain: Jupyter, IBM Cloud, Data Visualization Software, R (Software), Computer Programming Tools, Development Environment, Exploratory Data Analysis, Data Science, Integrated Development Environments, Data Analysis, GitHub, Python Programming, Scala Programming

    4.5
    Rating, 4.5 out of 5 stars
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    30K reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    No-Code Web Test Automation with Reflect

    Skills you'll gain: Browser Compatibility, Test Automation, No-Code Development, Usability Testing, User Acceptance Testing (UAT), Regression Testing, Software Testing, Quality Assurance

    Beginner · Course · 1 - 4 Weeks

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    University of Amsterdam

    Basic Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistics, Statistical Analysis, Quantitative Research, Data Analysis Software

    4.6
    Rating, 4.6 out of 5 stars
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    4.6K reviews

    Beginner · Course · 1 - 3 Months

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    Status: AI skills
    AI skills
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    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Convolutional Neural Networks, Deep Learning, Unsupervised Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Tensorflow, Vision Transformer (ViT), Generative Adversarial Networks (GANs), Transfer Learning, Image Analysis, Autoencoders, Applied Machine Learning, Artificial Neural Networks, Generative AI, Time Series Analysis and Forecasting, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment

    4.5
    Rating, 4.5 out of 5 stars
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    4.1K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    4.1K reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Orchestrate, Evaluate, and Release GenAI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AI Orchestration, Dependency Analysis, Application Deployment, Continuous Deployment, Generative AI, Release Management, Regression Testing, Cloud Deployment, Verification And Validation, Site Reliability Engineering, CI/CD, Model Evaluation, Continuous Delivery, Data-Driven Decision-Making, Application Performance Management, Software Technical Review, Kubernetes, System Requirements

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Illinois Urbana-Champaign

    Managerial Economics and Business Analysis

    Skills you'll gain: Descriptive Statistics, Supply And Demand, Market Dynamics, Sampling (Statistics), Financial Policy, Statistical Inference, Business Analytics, International Finance, Economics, Probability Distribution, Analytics, Statistical Analysis, Statistics, Regression Analysis, Data-Driven Decision-Making, Microsoft Excel, Statistical Methods, Peer Review, Statistical Hypothesis Testing, Banking

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    4.3K reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to regression models

generalized linear models and nonparametric regression
spss: apply & interpret logistic regression models
building statistical models in r: linear regression
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1…353637…240

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

  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Machine Learning: Classification: University of Washington
  • IBM Introduction to Machine Learning: IBM
  • Introduction to Cloud Computing: IBM
  • SAS Machine Learning Engineer: SAS
  • Tools for Data Science: IBM
  • No-Code Web Test Automation with Reflect: Coursera
  • Basic Statistics: University of Amsterdam
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Generative AI: Introduction and Applications: IBM

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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