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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


  • S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Bayesian Statistics, Probability & Statistics

    3.7
    Rating, 3.7 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Static & Dynamic Analysis for Technical Testing

    Skills you'll gain: Performance Testing, Maintainability, Software Testing, Code Review, Software Technical Review, Security Testing, Test Planning, Software Quality Assurance, Test Tools, White-Box Testing, Regression Testing

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    Advanced Semantic Processing

    Skills you'll gain: Embeddings, Semantic Web, Natural Language Processing, Data Processing, Text Mining, Applied Machine Learning, Classification Algorithms, Unsupervised Learning, Dimensionality Reduction, Linear Algebra

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On

    Skills you'll gain: Data Import/Export, Data Visualization Software, Cloud Deployment, Data Visualization, Restful API, Data Mapping, Extract, Transform, Load, Histogram, Data Transformation, Amazon Web Services, Apache Kafka, Scalability, Cloud Management, Information Architecture, System Monitoring, Network Monitoring, Application Performance Management, Cloud Computing, Data Management, Data Structures

    4.4
    Rating, 4.4 out of 5 stars
    ·
    16 reviews

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

  • U

    University of Michigan

    Data Structures for Designers Using Python

    Skills you'll gain: Object Oriented Programming (OOP), Software Design, Program Development, Data Structures, Visualization (Computer Graphics), Graphic and Visual Design, Computer Graphics, Creative Design, Python Programming, Algorithms, Linear Algebra, Simulations, Spatial Analysis

    Intermediate · Course · 1 - 3 Months

  • A

    American Psychological Association

    t-Tests of Hypotheses About Means

    Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistical Methods, Quantitative Research, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistics, Data Analysis, Regression Analysis, Research Design, Research, Psychology

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Analytics, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Classification And Regression Tree (CART), Business Analytics, Deep Learning, Machine Learning, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    26 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • E

    Edureka

    Applied Machine Learning with Python

    Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    120 Quick Stata Tips

    Skills you'll gain: Stata, STATA (Software), Scripting, Graphing, Data Visualization Software, Data Manipulation, Statistical Methods, Data Analysis, Data Management, Statistical Programming, Data Presentation, Debugging, Data Import/Export, Data Integrity

    Beginner · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Statistical Methods, Social Network Analysis, Applied Mathematics, Simulations, Data Science, Markov Model

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Diabetes Disease Detection with XG-Boost and Neural Networks

    Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Classification Algorithms, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Feature Engineering, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

1…777879…99

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

  • Machine Learning Algorithms: Sungkyunkwan University
  • Static & Dynamic Analysis for Technical Testing: Board Infinity
  • Advanced Semantic Processing: Packt
  • Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On: Packt
  • Machine Learning with PyTorch and Scikit-Learn: Packt
  • Data Structures for Designers Using Python: University of Michigan
  • t-Tests of Hypotheses About Means: American Psychological Association
  • Interpretable machine learning applications: Part 3: Coursera
  • Applied Machine Learning with Python: Edureka
  • 120 Quick Stata Tips: Packt

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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