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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: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Statistical Methods, Social Network Analysis, Applied Mathematics, Simulations, Data Science, Markov Model

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Statistical Modeling, R (Software), Statistical Inference, Regression Analysis, Data Analysis, Mathematical Modeling, Probability Distribution

    4.2
    Rating, 4.2 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    T

    The Hong Kong University of Science and Technology

    General Relativity I: Theoretical Foundations

    Skills you'll gain: Physics, Differential Equations, Linear Algebra, Calculus, electromagnetics, Mathematical Modeling, Advanced Mathematics, Mechanics, Applied Mathematics

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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
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    21 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    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, Lean Six Sigma, Statistical Analysis, Continuous Improvement Process, Data Analysis, Process Improvement, Process Capability, Quality Control, Root Cause Analysis, Statistical Inference, Regression Analysis, Correlation Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    12 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 4: Applications

    Skills you'll gain: Digital Signal Processing, Digital Communications, Communication Systems, Image Analysis, Telecommunications, Electrical Engineering, Electrical and Computer Engineering, Embedded Systems, Electronics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    83 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming

    4
    Rating, 4 out of 5 stars
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    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Linear Algebra, Probability Distribution, Classification Algorithms, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    Java: Data Structures and Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Java, Java Programming, Theoretical Computer Science, Computer Programming, Computational Thinking, Programming Principles, Performance Tuning, Object-Relational Mapping, Computer Programming Tools

    3.4
    Rating, 3.4 out of 5 stars
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    10 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free
    Free
    U

    University of Alberta

    Science Literacy

    Skills you'll gain: Scientific Methods, Science and Research, General Science and Research, Research Methodologies, Research, Research Design, Deductive Reasoning, Peer Review, Experimentation, Media and Communications, Correlation Analysis, Journalism, Statistical Analysis, Probability & Statistics, Cultural Diversity, Descriptive Statistics, Communication

    4.4
    Rating, 4.4 out of 5 stars
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    270 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Portfolio Optimization using Markowitz Model

    Skills you'll gain: Portfolio Management, Portfolio Risk, Financial Modeling, Correlation Analysis, Investment Management, Financial Analysis, Risk Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    328 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    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

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

  • Statistical Methods for Computer Science: Johns Hopkins University
  • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
  • General Relativity I: Theoretical Foundations: The Hong Kong University of Science and Technology
  • Introduction to Data Science Techniques: Illinois Tech
  • The DMAIC Framework: Analyze, Improve, and Control Phase: SkillUp
  • Digital Signal Processing 4: Applications: École Polytechnique Fédérale de Lausanne
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
  • Java: Data Structures and Algorithms: Codio
  • Science Literacy : University of Alberta

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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