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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
    I

    IBM

    Exploratory Data Analysis for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Jupyter, Data Import/Export, Pandas (Python Package), Data Transformation, Data Quality

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    California Institute of the Arts

    UI / UX Design

    Skills you'll gain: Information Architecture, Wireframing, User Interface and User Experience (UI/UX) Design, Persona (User Experience), Mockups, User Experience Design, Responsive Web Design, UI/UX Strategy, Web Design, Adobe XD, User Interface (UI) Design, User Experience, User Centered Design, Interaction Design, Prototyping, Graphic and Visual Design, Web Language, Design, Design Elements And Principles, User Research

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    417 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Foundations of Sports Analytics: Data, Representation, and Models in Sports

    Skills you'll gain: Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Data Preprocessing, Matplotlib, Data Visualization, Statistical Analysis, Scatter Plots, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    202 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Advanced Excel Analytics, Automation & Data Analysis

    Skills you'll gain: Excel Macros, Data Validation, Scatter Plots, Pivot Tables And Charts, Microsoft Excel, Data Visualization, Regression Analysis, Excel Formulas, Histogram, Data Analysis, Data Integrity, Descriptive Statistics, Data Visualization Software, Spreadsheet Software, Analytics, Statistical Analysis, Data Analysis Expressions (DAX), Statistical Methods, Descriptive Analytics, Automation

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Build Wireframes and Low-Fidelity Prototypes

    Skills you'll gain: Storyboarding, Wireframing, Information Architecture, Figma (Design Software), User Story, User Experience Design, User Centered Design, Prototyping, User Interface (UI), Usability, Mockups, Persona (User Experience), User Flows

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    N

    National Taiwan University

    Operations Research

    Skills you'll gain: Operations Research, Mathematical Modeling, Process Optimization, Report Writing, Network Model, Applied Mathematics, Process Improvement and Optimization, Business Modeling, Industrial Engineering, Linear Algebra, Numerical Analysis, Operations Management, Applied Machine Learning, Resource Allocation, Case Studies, Engineering Calculations, Algorithms, Feasibility Studies, Project Design, Business Analytics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    721 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Raising Capital: Credit Tech, Coin Offerings, and Crowdfunding

    Skills you'll gain: FinTech, Fundraising, Banking, Capital Markets, Consumer Lending, Blockchain, Credit Risk, Financial Systems, Financial Services, Entrepreneurial Finance, Commercial Lending, Logistic Regression

    4.7
    Rating, 4.7 out of 5 stars
    ·
    309 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with Excel, Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Statistical Modeling

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    846 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Medicine

    Skills you'll gain: Model Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Data Preprocessing, Risk Modeling, Treatment Planning, Data Analysis, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Feature Engineering, Patient Treatment, Image Analysis, Applied Machine Learning, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm, Forecasting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • Exploratory Data Analysis for Machine Learning: IBM
  • UI / UX Design: California Institute of the Arts
  • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
  • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
  • Advanced Excel Analytics, Automation & Data Analysis: EDUCBA
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Build Wireframes and Low-Fidelity Prototypes: Google
  • Operations Research: National Taiwan University
  • Raising Capital: Credit Tech, Coin Offerings, and Crowdfunding: University of Michigan
  • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder

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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