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  • Regression

Regression Courses

Regression courses can help you learn statistical modeling, data analysis techniques, and how to interpret relationships between variables. You can build skills in linear regression, logistic regression, and understanding residuals, along with evaluating model performance. Many courses introduce tools like R, Python, and Excel, that support conducting analyses and visualizing data, allowing you to apply these skills in practical work such as predicting outcomes and making informed decisions based on data.


Popular Regression Courses and Certifications


  • Status: Free Trial
    Free Trial
    H

    Howard University

    Business Problem Solving

    Skills you'll gain: Regression Analysis, Correlation Analysis, Spreadsheet Software, Business Analysis, Data-Driven Decision-Making, Business Modeling, Business Analytics, Microsoft Excel, Data Modeling, Statistical Analysis, Analysis, Financial Modeling, Forecasting, Risk Analysis, Data Analysis, Complex Problem Solving, Predictive Modeling, Business Process, Process Optimization, Business Strategy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: CI/CD Pipelines and Deployment Strategies

    Skills you'll gain: CI/CD, Application Deployment, Software Development Life Cycle, Continuous Deployment, Continuous Integration, Amazon Web Services, AWS CloudFormation, Amazon Elastic Compute Cloud, Regression Testing, Unit Testing, Infrastructure as Code (IaC), Docker (Software), Containerization, Amazon S3, Git (Version Control System)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees, SVM and Unsupervised Learning

    Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Random Forest Algorithm, Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Dimensionality Reduction, Feature Engineering, Statistics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modeling and Predicting Climate Anomalies

    Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Data Science, Environmental Policy, Data Analysis, Energy and Utilities, Data Visualization, Pandas (Python Package), Scikit Learn (Machine Learning Library), Supervised Learning, Climate Change Mitigation, Environment, Public Policies

    3.9
    Rating, 3.9 out of 5 stars
    ·
    6 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    Kennesaw State University

    The Analyze Phase for the 6 σ Black Belt

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Statistical Hypothesis Testing, Statistical Analysis, Analysis, Statistical Inference, Process Analysis, Correlation Analysis, Data Analysis, Probability & Statistics, Risk Analysis, Regression Analysis, Sample Size Determination, Sampling (Statistics)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    52 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to Uncertainty Quantification

    Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Cloud Computing, Classification And Regression Tree (CART), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Python Programming, Pandas (Python Package), Data Science, Machine Learning, Data Visualization, Data Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    161 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Anomaly Detection, Image Analysis, Matlab, Deep Learning, Artificial Neural Networks, Unsupervised Learning, Application Deployment, PyTorch (Machine Learning Library), Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Data Synthesis, Performance Tuning, Classification And Regression Tree (CART), Data Analysis, Data Validation, Medical Imaging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    32 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: Performance Metric, Artificial Intelligence, Strategic Leadership, Responsible AI, Strategic Decision-Making, Data Quality, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Algorithms, Artificial Neural Networks, Data Validation, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Mining Methods

    Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Supervised Learning, Big Data, Data Science, Machine Learning Algorithms, Exploratory Data Analysis, Classification And Regression Tree (CART), Data Analysis, Analysis, Statistical Analysis, Machine Learning, Algorithms, Bayesian Statistics, Artificial Neural Networks, Scalability

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization

    Skills you'll gain: Process Mapping, Root Cause Analysis, Lean Six Sigma, Lean Methodologies, Correlation Analysis, Process Improvement, Quality Improvement, Lean Manufacturing, Process Analysis, Regression Analysis, Continuous Improvement Process, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Process Optimization, Six Sigma Methodology, Process Management, Risk Management, Quality Management, Statistical Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    T

    Tecnológico de Monterrey

    Incrementar - Parte 2 y Controlar

    Skills you'll gain: Lean Six Sigma, Lean Manufacturing, Statistical Process Controls, Quality Improvement, Quality Control, Continuous Improvement Process, Predictive Modeling, Production Process, Process Improvement, Kanban Principles, Problem Management, Regression Analysis, Root Cause Analysis, Statistical Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    78 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Business Problem Solving: Howard University
  • AWS: CI/CD Pipelines and Deployment Strategies: Whizlabs
  • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
  • Modeling and Predicting Climate Anomalies: University of Colorado Boulder
  • The Analyze Phase for the 6 σ Black Belt: Kennesaw State University
  • Introduction to Uncertainty Quantification: Johns Hopkins University
  • Support Vector Machines in Python, From Start to Finish: Coursera
  • Deep Learning for Computer Vision: MathWorks
  • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
  • Data Mining Methods: University of Colorado Boulder

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