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  • Linear Regression

Linear Regression Courses

Linear regression courses can help you learn how to analyze relationships between variables, interpret coefficients, and evaluate model performance. You can build skills in data visualization, hypothesis testing, and making predictions based on data trends. Many courses introduce tools like Python, R, and Excel, that support implementing regression models and analyzing datasets effectively.


Popular Linear Regression Courses and Certifications


  • C

    Codio

    Data Science and Analysis Tools - from Jupyter to R Markdown

    Skills you'll gain: Rmarkdown, Box Plots, Plot (Graphics), Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Data Manipulation, Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Data Visualization Software, Data Analysis, R Programming, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Colorado Boulder

    Theory of Angular Momentum

    Skills you'll gain: Angular, Linear Algebra, Physics, Mathematical Modeling, Applied Mathematics

    4.1
    Rating, 4.1 out of 5 stars
    ·
    20 reviews

    Intermediate · Course · 1 - 4 Weeks

  • L

    Lund University

    Medical Applications of Particle Accelerators (NPAP MOOC)

    Skills you'll gain: Radiation Therapy, Medical Imaging, Diagnostic Radiology, Oncology, Patient Positioning, Biomedical Engineering, Medical Equipment, Treatment Planning, Physics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    283 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    AI Workflow: AI in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Machine Learning, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • U

    University of California San Diego

    Meaningful Predictive Modeling

    Skills you'll gain: Model Evaluation, Predictive Modeling, Data Validation, Regression Analysis, Supervised Learning, Feature Engineering, Python Programming, Statistical Methods, Machine Learning Methods, Data Preprocessing, Classification Algorithms, Natural Language Processing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    49 reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    American Psychological Association

    Statistics in Psychological Research

    Skills you'll gain: Data Visualization, Descriptive Statistics, Plot (Graphics), Data Literacy, Graphing, Statistical Hypothesis Testing, Probability & Statistics, Statistical Inference, Quantitative Research, Statistics, Statistical Analysis, Sample Size Determination, Data Analysis, Sampling (Statistics), Exploratory Data Analysis, Scatter Plots, Correlation Analysis, Psychology, Research Design, Scientific Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    66 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado System

    Genetic Epidemiology Foundations

    Skills you'll gain: Epidemiology, Biostatistics, Statistical Analysis, Data Quality, Statistical Modeling, Probability & Statistics, Molecular Biology, Statistical Methods, Statistical Hypothesis Testing, Regression Analysis, Data Validation, Biology

    4.5
    Rating, 4.5 out of 5 stars
    ·
    51 reviews

    Intermediate · Course · 1 - 3 Months

  • S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis

    3.9
    Rating, 3.9 out of 5 stars
    ·
    11 reviews

    Beginner · Specialization · 1 - 3 Months

  • S

    SkillUp

    The DMAIC Framework: Analyze, Improve, and Control Phase

    Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Statistical Hypothesis Testing, Statistical Analysis, Continuous Improvement Process, Data Analysis, Process Improvement, Quality Improvement, Root Cause Analysis, Data-Driven Decision-Making, Regression Analysis, Process Optimization, Correlation Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Practical Quantum Computing with IBM Qiskit for Beginners

    Skills you'll gain: IBM Cloud, Cryptography, Algorithms, Python Programming, Linear Algebra, Computational Thinking, Jupyter, Simulation and Simulation Software, Physics, Software Installation, Development Environment

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 3 - 6 Months

  • B

    Board Infinity

    Software Quality Assurance and Testing

    Skills you'll gain: Test Automation, Performance Testing, Software Quality Assurance, White-Box Testing, API Testing, Test Script Development, Debugging, Software Development Methodologies, User Acceptance Testing (UAT), JUnit, Maintainability, Development Testing, Selenium (Software), Scalability, Automation, Software Technical Review, DevOps, Regression Testing, Test Execution Engine, Security Testing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    27 reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    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
    ·
    22 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
  • Theory of Angular Momentum: University of Colorado Boulder
  • Medical Applications of Particle Accelerators (NPAP MOOC): Lund University
  • AI Workflow: AI in Production: IBM
  • Meaningful Predictive Modeling: University of California San Diego
  • Statistics in Psychological Research: American Psychological Association
  • Genetic Epidemiology Foundations: University of Colorado System
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • The DMAIC Framework: Analyze, Improve, and Control Phase: SkillUp
  • Practical Quantum Computing with IBM Qiskit for Beginners: Packt

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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