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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


  • U

    University of Colorado Boulder

    Efficient Programming

    Skills you'll gain: Hardware Architecture, Computer Programming Tools, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • N

    National Taiwan University

    商管統計資料分析一 (Analytics for Business and Management (I))

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Business Analytics, Analytics, Data Analysis, Statistics, Statistical Methods, Feature Engineering, Statistical Inference, Data Transformation, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • F

    Fundação Instituto de Administração

    Data Analysis for Business

    Skills you'll gain: Business Analytics, Regression Analysis, Descriptive Statistics, Data Analysis, Data-Driven Decision-Making, Statistical Inference, Statistics, Strategic Decision-Making, Business Analysis, Statistical Analysis, Data Science, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    28 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Understand Best Practices with Canvas

    Skills you'll gain: Course Development, Learning Management Systems, Information Architecture, Content Management, Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    40 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Machine Learning with TensorFlow Google Cloud 日本語版

    Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Model Deployment, Data Quality, Data Preprocessing, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Embeddings, Applied Machine Learning, Exploratory Data Analysis, Supervised Learning, Logistic Regression, MLOps (Machine Learning Operations), Machine Learning, AI Enablement, Data Pipelines, Machine Learning Algorithms, Artificial Neural Networks

    4.4
    Rating, 4.4 out of 5 stars
    ·
    152 reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    Illinois Tech

    Bayesian Computational Statistics

    Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Programming, Sampling (Statistics), R Programming, Markov Model, Logistic Regression, Probability, Simulations, Model Evaluation, Probability Distribution

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Creating Multi Task Models With Keras

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Convolutional Neural Networks, Deep Learning, Machine Learning, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • H

    Howard University

    Business Modeling Tools

    Skills you'll gain: Regression Analysis, Financial Modeling, Business Modeling, Business Analytics, Statistical Analysis, Spreadsheet Software, Forecasting, Data Analysis, Microsoft Excel, Predictive Modeling, Business Strategy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Create a website with MailChimp

    Skills you'll gain: Search Engine Optimization, Content Management, Web Content, Web Design, Information Architecture, Web Design and Development, Goal Setting, Project Implementation, Project Closure

    4.7
    Rating, 4.7 out of 5 stars
    ·
    84 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    Deep Learning for Computer Vision

    Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Model Deployment, Unsupervised Learning, Artificial Intelligence, Classification Algorithms

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • M

    MathWorks

    Data Science Companion

    Skills you'll gain: Data Science, Data Processing, Applied Machine Learning, Machine Learning, Geographic Information Systems, Big Data, Data Visualization, Data Analysis, Data Integration, Amazon Web Services, Cloud Computing, Matlab, Data Cleansing, Regression Analysis, Classification Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Efficient Programming: University of Colorado Boulder
  • 商管統計資料分析一 (Analytics for Business and Management (I)): National Taiwan University
  • Data Analysis for Business: Fundação Instituto de Administração
  • Understand Best Practices with Canvas: Coursera
  • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
  • Bayesian Computational Statistics: Illinois Tech
  • Creating Multi Task Models With Keras: Coursera
  • Business Modeling Tools: Howard University
  • Create a website with MailChimp: Coursera
  • Scikit-Learn For Machine Learning Classification Problems: 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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