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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


  • Status: Preview
    Preview
    E

    EIT Digital

    Data Science for Business Innovation

    Skills you'll gain: Data Strategy, Data-Driven Decision-Making, Big Data, Data Science, NoSQL, Data Modeling, Data Storage Technologies, Analytics, Business Analytics, Data Analysis, Data Ethics, Machine Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART), Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    270 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Big Data

    Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Presentation, Scalability, Data Processing, Statistical Analysis, NoSQL, Database Management Systems, MongoDB

    4.5
    Rating, 4.5 out of 5 stars
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    14K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics

    Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Data Presentation, Statistics, Probability, Statistical Analysis, Statistical Software, Advanced Analytics, R (Software), Data Analysis, Mathematical Modeling, Microsoft Excel, Markov Model, Statistical Methods, Data Science

    4.6
    Rating, 4.6 out of 5 stars
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    3.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    MATLAB Programming for Engineers and Scientists

    Skills you'll gain: Prompt Engineering, Image Analysis, Data Visualization Software, Matlab, Machine Learning Methods, Algorithms, User Interface (UI), Applied Machine Learning, ChatGPT, Scatter Plots, Object Oriented Programming (OOP), Dimensionality Reduction, Classification And Regression Tree (CART), Computer Programming, Histogram, AI Personalization, Data Processing, Data Analysis, Programming Principles, Debugging

    4.8
    Rating, 4.8 out of 5 stars
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    18K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
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    580 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Statistical Methods, Applied Machine Learning, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Predictive Modeling, Decision Tree Learning

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Business Intelligence, Content Creation, Risk Mitigation

    4.7
    Rating, 4.7 out of 5 stars
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    22K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Risking, 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

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
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    3.1K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
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    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Software Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Large Language Modeling, Responsible AI, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, Application Security, CI/CD, AI Product Strategy, Natural Language Processing, Software Engineering, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Software Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Financial Forecasting, Quantitative Research, Financial Modeling, Forecasting, Regression Analysis, Finance

    4
    Rating, 4 out of 5 stars
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    890 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to regression models

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logistic regression with sas: build & evaluate models
1…343536…224

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

  • Data Science for Business Innovation: EIT Digital
  • Big Data: University of California San Diego
  • Bayesian Statistics: University of California, Santa Cruz
  • MATLAB Programming for Engineers and Scientists: Vanderbilt University
  • The Nuts and Bolts of Machine Learning: Google
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Introduction to Artificial Intelligence (AI): IBM
  • Machine Learning: Classification: University of Washington
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Mathematics for Machine Learning: Imperial College London

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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