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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
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    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Apply Neural Networks for Car Price Prediction

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Cleansing, Data Transformation, Predictive Modeling, Pandas (Python Package), Applied Machine Learning, Statistical Methods, Regression Analysis, Scikit Learn (Machine Learning Library), Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Business Analytics with Excel

    Skills you'll gain: Risk Modeling, Operations Research, Regression Analysis, Network Model, Resource Allocation, Excel Macros, Business Analytics, Risk Analysis, Simulation and Simulation Software, Business Process Modeling, Microsoft Excel, Strategic Decision-Making, Business Modeling, Data Modeling, Analysis, Data-Driven Decision-Making, Excel Formulas, Business, Spreadsheet Software, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    4.1K reviews

    Beginner · Specialization · 3 - 6 Months

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    Duke University

    Introduction to Logic and Critical Thinking

    Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Analysis, Diagram Design, Probability, Sampling (Statistics), Persuasive Communication, Research, Sample Size Determination, Writing, Case Studies, Oral Expression, Correlation Analysis, Communication, Scientific Methods, Information Architecture, Business Communication, Interactive Learning

    4.6
    Rating, 4.6 out of 5 stars
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    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

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    EDUCBA

    Apply Data Analytics Using Python and Pandas

    Skills you'll gain: NumPy, Pandas (Python Package), Model Evaluation, Jupyter, Data Analysis, Applied Machine Learning, Analytical Skills, Data Manipulation, Matplotlib, Business Analytics, Exploratory Data Analysis, Data Visualization Software, Python Programming, Descriptive Statistics, Linear Algebra

    Beginner · Course · 1 - 3 Months

  • Status: New
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    P

    Packt

    Core Machine Learning & Evaluation

    Skills you'll gain: Model Evaluation, Supervised Learning, Feature Engineering, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Scikit Learn (Machine Learning Library), Random Forest Algorithm, Regression Analysis, Classification Algorithms, Logistic Regression, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Analyze and Optimize Pricing with Tableau and R

    Skills you'll gain: Tableau Software, Dashboard, Case Studies, Business Intelligence, Business Analytics, Analytics, Data Analysis, Market Dynamics, Data-Driven Decision-Making, Advanced Analytics, Descriptive Analytics, Predictive Analytics, Interactive Data Visualization, Regression Analysis, Customer Analysis, Revenue Management, Business Requirements, Key Performance Indicators (KPIs)

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Analyze and Apply Statistical Methods Using Minitab

    Skills you'll gain: Minitab, Process Capability, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Sampling (Statistics), Statistical Visualization, Probability & Statistics, Probability Distribution, Data Analysis, Statistical Methods, Performance Analysis, Statistical Inference, Quality Control, Regression Analysis

    Beginner · Course · 1 - 4 Weeks

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    C

    Coursera

    Automate and Evaluate ML Pipeline Tests

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Regression Testing, Unit Testing, Test Case, System Testing, Test Automation, Software Testing, Integration Testing, Test Planning, Verification And Validation, Anomaly Detection, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Apply Data Analytics with Minitab for Business Decisions

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

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Mathematics for Engineers

    Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mathematical Software, Mechanical Engineering, Calculus, electromagnetics, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Simulation and Simulation Software, Advanced Mathematics, Geometry, Computational Thinking

    4.8
    Rating, 4.8 out of 5 stars
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    7.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

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

  • Applied Machine Learning in Python: University of Michigan
  • Apply Neural Networks for Car Price Prediction: EDUCBA
  • Business Analytics with Excel: Johns Hopkins University
  • Introduction to Logic and Critical Thinking: Duke University
  • Apply Data Analytics Using Python and Pandas: EDUCBA
  • Core Machine Learning & Evaluation: Packt
  • Analyze and Optimize Pricing with Tableau and R: EDUCBA
  • Analyze and Apply Statistical Methods Using Minitab: EDUCBA
  • Automate and Evaluate ML Pipeline Tests: Coursera
  • Apply Data Analytics with Minitab for Business Decisions: EDUCBA

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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