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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
    C

    CertNexus

    Train Machine Learning Models

    Skills you'll gain: Model Training, Jupyter, Unsupervised Learning, Model Evaluation, Classification Algorithms, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Regression Analysis, Data Preprocessing, Machine Learning, Model Optimization, Machine Learning Algorithms, Fine-tuning, Performance Metric

    Intermediate · Course · 1 - 3 Months

  • 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, Telecommunications, Numerical Analysis, Systems Analysis, Jupyter

    4.7
    Rating, 4.7 out of 5 stars
    ·
    198 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Predictive Analytics & Modeling with Minitab

    Skills you'll gain: Data-Driven Decision-Making, Minitab, Regression Analysis, Predictive Modeling, Logistic Regression, Statistical Hypothesis Testing, Statistical Analysis, Scatter Plots, Correlation Analysis, Data Analysis, Analytics, Data Analysis Software, Predictive Analytics, Statistical Methods, Descriptive Statistics, Statistical Software, Statistical Modeling, Advanced Analytics, Forecasting, Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, AI literacy, Decision Intelligence, Applied Machine Learning, Generative Model Architectures, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Embeddings, Image Analysis, Machine Learning Methods, Scientific Visualization, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    93 reviews

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Classification Trees in Python, From Start To Finish

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    233 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Creating a Portfolio Using Weebly

    Skills you'll gain: Information Architecture, Content Management Systems, Web Content, Web Applications, Web Presence, Content Management, Web Design and Development, System Configuration

    4.5
    Rating, 4.5 out of 5 stars
    ·
    70 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Modelos predictivos con aprendizaje automático

    Skills you'll gain: Data Ethics, Predictive Modeling, Classification And Regression Tree (CART), Statistical Machine Learning, Supervised Learning, Machine Learning Methods, Regression Analysis, Model Training, Applied Machine Learning, Predictive Analytics, Model Evaluation, Machine Learning Software, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms, Classification Algorithms, Decision Tree Learning, Responsible AI, Model Optimization, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    79 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Market Opportunities, Data Integration, Data Engineering, Data Science, Analytical Skills, Data Pipelines, Data Validation, Extract, Transform, Load, Data Processing, Workflow Management, Process Modeling, Data Cleansing, Data Quality, Data Collection, Business Priorities, NumPy, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    191 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Mining Methods

    Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Machine Learning Methods, Supervised Learning, Classification Algorithms, Decision Tree Learning, Data Science, Machine Learning Algorithms, Data Analysis, Machine Learning, Correlation Analysis, Bayesian Network, Algorithms, Artificial Neural Networks, Model Evaluation

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    75 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of London

    Data Science Project Capstone: Predicting Bicycle Rental

    Skills you'll gain: Correlation Analysis, Predictive Modeling, Data Collection, Predictive Analytics, Regression Analysis, Data Science, Forecasting, Data Analysis, Statistical Modeling, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Machine Learning Methods, Autoencoders, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Model Training, Machine Learning, Machine Learning Software, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Classification Algorithms, Random Forest Algorithm, Data Import/Export, Model Optimization, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Train Machine Learning Models: CertNexus
  • Digital Signal Processing 2: Filtering: École Polytechnique Fédérale de Lausanne
  • Predictive Analytics & Modeling with Minitab: EDUCBA
  • Explainable AI (XAI): Duke University
  • Classification Trees in Python, From Start To Finish: Coursera
  • Creating a Portfolio Using Weebly: Coursera
  • Modelos predictivos con aprendizaje automático: Universidad de los Andes
  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • AI Workflow: Business Priorities and Data Ingestion: IBM
  • Data Mining Methods: 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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