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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


  • Status: New
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    EDUCBA

    AI Driven Machine Learning with Python

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Specialization · 1 - 3 Months

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    Johns Hopkins University

    Random Processes

    Skills you'll gain: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Correlation Analysis, Engineering Analysis, Digital Signal Processing, Statistical Analysis, Reliability, Engineering, Spatial Analysis

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Design Restaurant Menu Website using HTML and CSS on VScode

    Skills you'll gain: Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Web Design and Development, Web Design, Web Development, UI Components, Front-End Web Development, Information Architecture

    4.5
    Rating, 4.5 out of 5 stars
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    11 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

    Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Unity: Design & Implement Advanced Rendering Effects

    Skills you'll gain: Unity Engine, Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, C# (Programming Language), Linear Algebra, Scripting

    4.8
    Rating, 4.8 out of 5 stars
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    13 reviews

    Mixed · Course · 1 - 4 Weeks

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    U

    University of Maryland, College Park

    Cómo combinar y analizar datos complejos

    Skills you'll gain: Data Integration, Data Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Logistic Regression

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Predictive Analytics: Apply, Analyze & Interpret

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Predictive Analytics, Data Analysis, Minitab, Statistical Methods, Forecasting, Business Analytics, Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Case Studies, Financial Analysis, Microsoft Excel

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    Case Western Reserve University

    Basic Principles of Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    Board Infinity

    Fundamentals of Test Case Design

    Skills you'll gain: Test Case, Test Script Development, Test Planning, Test Automation, Test Engineering, Continuous Integration, Test Tools, CI/CD, Software Quality Assurance, Regression Testing, Quality Assurance

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Creating an Interactive Syllabus using Microsoft Word

    Skills you'll gain: Microsoft Office, Educational Materials, Web Content Accessibility Guidelines, Technical Documentation, Information Architecture, Organizational Skills

    4.5
    Rating, 4.5 out of 5 stars
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    13 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Fundação Instituto de Administração

    Data Analysis for Business

    Skills you'll gain: Business Analytics, Regression Analysis, Descriptive Statistics, Data Analysis, Data-Driven Decision-Making, Statistical Inference, Statistics, Strategic Decision-Making, Business Analysis, Statistical Analysis, Data Science, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
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    26 reviews

    Intermediate · Course · 1 - 3 Months

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

  • AI Driven Machine Learning with Python: EDUCBA
  • Random Processes: Johns Hopkins University
  • Design Restaurant Menu Website using HTML and CSS on VScode: Coursera
  • Machine Learning with PyTorch and Scikit-Learn: Packt
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • Unity: Design & Implement Advanced Rendering Effects: EDUCBA
  • Cómo combinar y analizar datos complejos: University of Maryland, College Park
  • Predictive Analytics: Apply, Analyze & Interpret: EDUCBA
  • Basic Principles of Geostatistical Geospatial Modeling: Case Western Reserve University
  • Fundamentals of Test Case Design: Board Infinity

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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