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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


  • C

    Columbia University

    Camera and Imaging

    Skills you'll gain: Image Quality, Image Analysis, Computer Vision, Photography, Color Theory, Computer Displays, Computer Graphics, Digital Signal Processing, Semiconductors

    4.7
    Rating, 4.7 out of 5 stars
    ·
    160 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Alberta

    Science Literacy

    Skills you'll gain: Scientific Methods, Research Methodologies, Research, Research Design, Deductive Reasoning, Peer Review, Media and Communications, Correlation Analysis, Statistical Analysis, Probability & Statistics, Cultural Diversity, Descriptive Statistics, Communication

    4.3
    Rating, 4.3 out of 5 stars
    ·
    283 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Hot New Release
    Hot New Release
    U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Large Language Modeling, Natural Language Processing, Embeddings, Network Model, Network Architecture, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    18 reviews

    Intermediate · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Tidyverse Skills for Data Science in R

    Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Data Visualization, Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Regression Analysis, Web Scraping, Data Science, R (Software), Data Analysis Software

    4.5
    Rating, 4.5 out of 5 stars
    ·
    110 reviews

    Beginner · Specialization · 3 - 6 Months

  • K

    Koç University

    Çok değişkenli Fonksiyon II: Uygulamalar / Multivariable Calculus II: Applications

    Skills you'll gain: Integral Calculus, Calculus, Differential Equations, Advanced Mathematics, Applied Mathematics, Engineering Analysis, Linear Algebra, Mathematical Modeling, Mathematical Theory & Analysis, Geometry, Physics, Derivatives

    4.4
    Rating, 4.4 out of 5 stars
    ·
    14 reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Cape Town

    Doing Clinical Research: Biostatistics with the Wolfram Language

    Skills you'll gain: Descriptive Statistics, Data Literacy, Plot (Graphics), Statistical Analysis, Statistical Visualization, Statistical Programming, Biostatistics, Statistical Hypothesis Testing, Quantitative Research, Deep Learning, Regression Analysis, Data Manipulation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    52 reviews

    Beginner · Course · 1 - 4 Weeks

  • É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 4: Applications

    Skills you'll gain: Digital Signal Processing, Digital Communications, Communication Systems, Image Analysis, Telecommunications, Electrical Engineering, Electrical and Computer Engineering, Embedded Systems, Electronics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    85 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    Machine Learning and NLP Basics

    Skills you'll gain: Tensorflow, Predictive Modeling, Machine Learning, Text Mining, Deep Learning, Natural Language Processing, Applied Machine Learning, Convolutional Neural Networks, Supervised Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Classification Algorithms, Data Science, Data Preprocessing

    3.3
    Rating, 3.3 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 4 Weeks

  • O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

  • O

    O.P. Jindal Global University

    Artificial Intelligence

    Skills you'll gain: Computational Logic, Classification Algorithms, Natural Language Processing, Artificial Intelligence, Applied Machine Learning, Machine Learning, Business Strategy, Unsupervised Learning, Decision Support Systems, Strategic Decision-Making, Decision Tree Learning, Bayesian Statistics, Complex Problem Solving, Probability & Statistics, Information Architecture, Algorithms

    Build toward a degree

    Mixed · Course · 3 - 6 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    27 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    104 reviews

    Advanced · Professional Certificate · 3 - 6 Months

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1…505152…97

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

  • Camera and Imaging: Columbia University
  • Science Literacy : University of Alberta
  • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
  • Tidyverse Skills for Data Science in R: Johns Hopkins University
  • Çok değişkenli Fonksiyon II: Uygulamalar / Multivariable Calculus II: Applications: Koç University
  • Doing Clinical Research: Biostatistics with the Wolfram Language: University of Cape Town
  • Digital Signal Processing 4: Applications: École Polytechnique Fédérale de Lausanne
  • Machine Learning and NLP Basics: Edureka
  • Machine Learning: O.P. Jindal Global University
  • Artificial Intelligence: O.P. Jindal Global University

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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