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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


  • Status: Free Trial
    Free Trial
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    Northwestern University

    Modern Robotics, Course 4: Robot Motion Planning and Control

    Skills you'll gain: Robotics, Control Systems, Artificial Intelligence, Automation, Graph Theory, Algorithms, Virtual Environment, Simulation and Simulation Software, Mathematical Modeling, Data Structures, Linear Algebra

    4.9
    Rating, 4.9 out of 5 stars
    ·
    137 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Kalman Filter Boot Camp (and State Estimation)

    Skills you'll gain: Linear Algebra, Matlab, Statistical Modeling, Simulations, Statistical Analysis, Time Series Analysis and Forecasting, Probability & Statistics, Numerical Analysis, Forecasting

    4.9
    Rating, 4.9 out of 5 stars
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    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Classification Algorithms, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    114 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    Universidad de los Andes

    Fundamentos de estadística aplicada

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Regression Analysis, Data Analysis, Sampling (Statistics), Statistical Methods, Statistical Analysis, Probability & Statistics, Statistical Inference, Estimation

    4.5
    Rating, 4.5 out of 5 stars
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    143 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Meta

    Python Data Analytics

    Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Manipulation, Jupyter, Matplotlib, Regression Analysis, Data Visualization, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming, Scripting

    4.3
    Rating, 4.3 out of 5 stars
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    239 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Integral Calculus and Numerical Analysis for Data Science

    Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Data Science, Mathematical Theory & Analysis, Applied Mathematics, Linear Algebra, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
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    109 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    90 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Illinois Urbana-Champaign

    Introduction to Artificial Intelligence

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Applied Machine Learning, Deep Learning, Responsible AI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Regression Analysis, Law, Regulation, and Compliance, Classification Algorithms, Business Ethics, Governance

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    57 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    ESSEC Business School

    Foundations of marketing analytics

    Skills you'll gain: Marketing Analytics, Customer Analysis, Business Marketing, Business Analytics, Customer Insights, R Programming, Data-Driven Decision-Making, Data Analysis Software, Target Market, Statistical Analysis, Statistical Modeling, Predictive Modeling, Customer Relationship Management, Statistical Methods

    4.6
    Rating, 4.6 out of 5 stars
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    762 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
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    76 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Coursera

    Exploratory Data Analysis With Python and Pandas

    Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, NumPy, Statistical Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    444 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
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    P

    Peking University

    医学统计学与SPSS软件(基础篇)

    Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Statistical Methods, SPSS, SPSS (Software), Correlation Analysis, Regression Analysis, Statistical Analysis, Descriptive Statistics, Quantitative Research, Sampling (Statistics), Biostatistics, Data Analysis Software, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
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    159 reviews

    Mixed · Course · 1 - 3 Months

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

  • Modern Robotics, Course 4: Robot Motion Planning and Control: Northwestern University
  • Kalman Filter Boot Camp (and State Estimation): University of Colorado System
  • Machine Learning with Apache Spark: IBM
  • Fundamentos de estadística aplicada: Universidad de los Andes
  • Python Data Analytics: Meta
  • Integral Calculus and Numerical Analysis for Data Science: University of Colorado Boulder
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Introduction to Artificial Intelligence: University of Illinois Urbana-Champaign
  • Foundations of marketing analytics: ESSEC Business School
  • Interpretable Machine Learning Applications: Part 1: Coursera

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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