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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.


More to explore:

Popular Linear Regression Courses and Certifications


  • Status: Free Trial
    Free Trial
    T

    Tecnológico de Monterrey

    Incrementar - Parte 2 y Controlar

    Skills you'll gain: Lean Six Sigma, Lean Manufacturing, Statistical Process Controls, Quality Improvement, Quality Control, Continuous Improvement Process, Predictive Modeling, Production Process, Process Improvement, Kanban Principles, Problem Management, Regression Analysis, Root Cause Analysis, Statistical Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    82 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Portfolio Diversification using Correlation Matrix

    Skills you'll gain: Portfolio Risk, Portfolio Management, Risk Management, Financial Market, Financial Modeling, Investments, Correlation Analysis, Market Data, Return On Investment, Analysis, Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    290 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Business intelligence and data analytics: Generate insights

    Skills you'll gain: SAS (Software), Business Analytics, Dashboard, Data-Driven Decision-Making, Analytical Skills, Business Intelligence, Data Analysis, Forecasting, Trend Analysis, Histogram, Business Ethics, Correlation Analysis, Time Series Analysis and Forecasting, Statistics, Predictive Modeling, Innovation, Sustainable Business

    4.6
    Rating, 4.6 out of 5 stars
    ·
    464 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Leeds

    An Introduction to Logic for Computer Science

    Skills you'll gain: Logical Reasoning, Computational Logic, Computational Thinking, Algorithms, Theoretical Computer Science, Artificial Intelligence, Cryptography, Graph Theory

    4.6
    Rating, 4.6 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 2: Filtering

    Skills you'll gain: Digital Signal Processing, Digital Communications, Communication Systems, Electrical and Computer Engineering, Telecommunications, Electronics, Engineering Analysis, Numerical Analysis, Data Mapping, Real Time Data, Computer Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    194 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data Science for Health Research

    Skills you'll gain: R (Software), Model Evaluation, Statistical Modeling, Data Visualization, Data Wrangling, Data Manipulation, Correlation Analysis, Histogram, Data Analysis, Statistical Analysis, Biostatistics, Statistics, Scripting, Statistical Hypothesis Testing, Package and Software Management, Data Import/Export

    5
    Rating, 5 out of 5 stars
    ·
    11 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Designing for User Experience

    Skills you'll gain: Storyboarding, User Research, Information Architecture, User Experience Design, Persona (User Experience), Design Research, Design Thinking, User Centered Design, Innovation, Creativity

    4.6
    Rating, 4.6 out of 5 stars
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    103 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Deep Learning

    Skills you'll gain: Deep Learning, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Unsupervised Learning, Generative Adversarial Networks (GANs), Autoencoders, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Natural Language Processing, Applied Machine Learning, Model Evaluation, Performance Tuning

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
    ·
    36 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    What are the Chances? Probability and Uncertainty in Statistics

    Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Intermediate · 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
    ·
    21 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Input and Interaction

    Skills you'll gain: Human Computer Interaction, Human Factors, User Interface (UI), Usability, Interaction Design, Information Architecture, User Interface and User Experience (UI/UX) Design, Prototyping

    4.6
    Rating, 4.6 out of 5 stars
    ·
    720 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Machine Learning Using SAS Viya

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    102 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Incrementar - Parte 2 y Controlar: Tecnológico de Monterrey
  • Portfolio Diversification using Correlation Matrix: Coursera
  • Business intelligence and data analytics: Generate insights: Macquarie University
  • An Introduction to Logic for Computer Science: University of Leeds
  • Digital Signal Processing 2: Filtering: École Polytechnique Fédérale de Lausanne
  • Data Science for Health Research: University of Michigan
  • Designing for User Experience: Microsoft
  • Introduction to Deep Learning: University of Colorado Boulder
  • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
  • Introduction to Data Science Techniques: Illinois Tech

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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