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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.


More to explore:

Popular Regression Models Courses and Certifications


  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science

    Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub

    4.5
    Rating, 4.5 out of 5 stars
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    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
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    97K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Tensorflow, Artificial Neural Networks, Classification Algorithms, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning Methods, Model Evaluation, Data Preprocessing, Regression Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Logistic Regression, R Programming

    4.3
    Rating, 4.3 out of 5 stars
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    607 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Cybersecurity

    Skills you'll gain: Cybersecurity, Security Controls, Information Systems Security Assessment Framework (ISSAF), Computer Security, Security Strategy, Cyber Risk, Security Information and Event Management (SIEM), Data Ethics, Network Analysis, Personally Identifiable Information, Ethical Standards And Conduct

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    39K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    Imperial College London

    Statistical Analysis with R for Public Health

    Skills you'll gain: Logistic Regression, Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, R (Software), Statistics, Statistical Methods, Data Wrangling, Public Health

    4.7
    Rating, 4.7 out of 5 stars
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    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Analysis with R

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Analysis, Statistics, Data Analysis Software, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Statistical Methods, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
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    7.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    M

    Meta

    Statistics Foundations

    Skills you'll gain: Bayesian Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Data Modeling, Statistics, Probability & Statistics, Statistical Analysis, Statistical Methods, Statistical Modeling, Marketing Analytics, Tableau Software, Data Analysis, Spreadsheet Software, Analytics, Time Series Analysis and Forecasting, Regression Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    379 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    R

    Rice University

    Business Statistics and Analysis

    Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Methods, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Modeling, Statistical Analysis, Statistical Inference, Excel Formulas, Data Analysis, Data Presentation, Model Evaluation, Sample Size Determination

    4.7
    Rating, 4.7 out of 5 stars
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    13K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Business and Financial Modeling

    Skills you'll gain: Risk Management, Business Modeling, Mathematical Modeling, Data-Driven Decision-Making, Portfolio Management, Forecasting, Regression Analysis, Financial Modeling, Statistical Modeling, Risk Analysis, Predictive Modeling, Presentations, Spreadsheet Software, Microsoft PowerPoint, Investment Management, Financial Statements, Data Modeling, Quantitative Research, Business Analytics, Microsoft Excel

    4.5
    Rating, 4.5 out of 5 stars
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    11K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Data Science: Johns Hopkins University
  • IBM Generative AI Engineering: IBM
  • Introduction to Neural Networks and PyTorch: IBM
  • Inferential Statistics: University of Amsterdam
  • Foundations of Cybersecurity: Google
  • Statistical Analysis with R for Public Health: Imperial College London
  • Data Analysis with R: Duke University
  • Statistics Foundations: Meta
  • Business Statistics and Analysis: Rice University

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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