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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


  • E

    EDUCBA

    Credit Default Prediction with Python: Apply & Analyze

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Decision Tree Learning, Credit Risk, Random Forest Algorithm, Feature Engineering, Financial Modeling, Logistic Regression, Data Analysis, Statistical Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Analyze Data in Azure ML Studio

    Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Feature Engineering, Data Analysis, Statistics, Exploratory Data Analysis, Probability & Statistics, Data Visualization Software, Correlation Analysis, Applied Machine Learning

    Beginner · Guided Project · Less Than 2 Hours

  • B

    Board Infinity

    Mastering Reviews and Test Automation: Techniques & Tools

    Skills you'll gain: Test Tools, Test Automation, Test Planning, Scripting, Test Script Development, Continuous Integration, CI/CD, Software Testing, Regression Testing, Software Technical Review, Test Case, Continuous Delivery, Maintainability, Automation, Software Quality (SQA/SQC)

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Advanced · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Engineering Genetic Circuits: Abstraction Methods

    Skills you'll gain: Markov Model, Engineering Analysis, Mathematical Modeling, Computational Thinking, Failure Analysis, Biological Engineering, Hazard Analysis, Simulations, Chemical Engineering, Model Evaluation, Applied Mathematics, Differential Equations, Probability

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Data Preprocessing, Data Manipulation, Predictive Modeling, R Programming, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Performance Tuning, Logistic Regression

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    Universidad Nacional Autónoma de México

    In core nuclear fuel management

    Skills you'll gain: Process Engineering, Chemical Engineering, Energy and Utilities, Engineering Design Process, Mechanical Engineering, Engineering Calculations, Control Systems, Cost Estimation, Mathematical Modeling, Simulation and Simulation Software, Safety Standards

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Advanced · Course · 1 - 3 Months

  • E

    EDUCBA

    Seaborn Python: Visualize & Analyze Data Distributions

    Skills you'll gain: Matplotlib, Statistical Modeling, Descriptive Statistics

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Data-Driven Decision-Making, Regression Analysis, Probability Distribution

    Intermediate · Course · 1 - 3 Months

  • S

    SAS

    SAS Certification Practice Exams

    Skills you'll gain: Model Deployment, Logistic Regression, Probability & Statistics, Statistics, Model Evaluation, Classification And Regression Tree (CART)

    Mixed · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Houdini FX Procedural Modeling and VEX Effects Mastery

    Skills you'll gain: Animations, 3D Modeling, 3D Assets, Computer Graphics, Virtual Environment, Visualization (Computer Graphics), Prototyping, User Interface (UI), Linear Algebra, Programming Principles, Simulations, Scripting, Computational Logic, Scripting Languages, Graphical Tools

    Beginner · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Deep Neural Network for Beginners Using Python

    Skills you'll gain: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning

    Beginner · Course · 1 - 3 Months

1…858687…99

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

  • Credit Default Prediction with Python: Apply & Analyze: EDUCBA
  • Analyze Data in Azure ML Studio: Coursera
  • Mastering Reviews and Test Automation: Techniques & Tools: Board Infinity
  • Engineering Genetic Circuits: Abstraction Methods: University of Colorado Boulder
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • In core nuclear fuel management: Universidad Nacional Autónoma de México
  • Seaborn Python: Visualize & Analyze Data Distributions: EDUCBA
  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • SAS Certification Practice Exams: SAS
  • Houdini FX Procedural Modeling and VEX Effects Mastery: EDUCBA

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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