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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
    U

    University of Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

    Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning - Artificial Neural Networks with TensorFlow

    Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Splunk Administration and Advanced Topics

    Skills you'll gain: Splunk, Data Modeling, Role-Based Access Control (RBAC), System Monitoring, Incident Response, Computer Security Incident Management, User Accounts, Security Information and Event Management (SIEM), Authorization (Computing), Machine Learning, Event Monitoring, Systems Administration, Performance Tuning, Data Visualization, Threat Detection, Anomaly Detection, Continuous Monitoring, Correlation Analysis, Data Analysis, Authentications

    4.8
    Rating, 4.8 out of 5 stars
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    49 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
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    D

    DeepLearning.AI

    신경망 및 딥 러닝

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Supervised Learning, Applied Machine Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, NumPy, Performance Tuning, Linear Algebra

    5
    Rating, 5 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Images and Links in HTML

    Skills you'll gain: Hypertext Markup Language (HTML), Web Design, Web Content, Web Design and Development, Web Development, Information Architecture

    4.7
    Rating, 4.7 out of 5 stars
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    331 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    76 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    B

    Birla Institute of Technology & Science, Pilani

    Probability and Statistics

    Skills you'll gain: Data Analysis, Statistical Analysis, Data Visualization, Predictive Modeling, Applied Mathematics

    4.3
    Rating, 4.3 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    I

    IBM

    데이터 과학이란 무엇인가?

    Skills you'll gain: Data Storytelling, Data Mining, Data Science, Data-Driven Decision-Making, Digital Transformation, Big Data, Data Analysis, Business Analytics, Regression Analysis, Analytics, Apache Hadoop, Health Informatics, Deep Learning

    4.5
    Rating, 4.5 out of 5 stars
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    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    L

    Lund University

    Introduction to Particle Accelerators (NPAP MOOC)

    Skills you'll gain: Engineering, Scientific, and Technical Instruments, Radiation Therapy, Medical Equipment, Materials science, Semiconductors, electromagnetics, Physics, Emerging Technologies, Laboratory Equipment, Electrical Engineering, Simulation and Simulation Software

    4.7
    Rating, 4.7 out of 5 stars
    ·
    203 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    T

    The Hong Kong University of Science and Technology

    General Relativity I: Theoretical Foundations

    Skills you'll gain: Physics, Differential Equations, Linear Algebra, Calculus, electromagnetics, Mathematical Modeling, Advanced Mathematics, Mechanics, Applied Mathematics

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    O

    O.P. Jindal Global University

    Artificial Intelligence

    Skills you'll gain: Machine Learning Algorithms, Classification Algorithms, AI Enablement, Artificial Intelligence, Computational Logic, Machine Learning, Natural Language Processing, Business Strategy, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Strategic Decision-Making, Algorithms, Bayesian Network, Complex Problem Solving, Probability & Statistics

    Build toward a degree

    Mixed · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    What are the Chances? Probability and Uncertainty in Statistics

    Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • Deep Learning - Artificial Neural Networks with TensorFlow: Packt
  • Splunk Administration and Advanced Topics: EDUCBA
  • 신경망 및 딥 러닝: DeepLearning.AI
  • Images and Links in HTML: Coursera
  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • Probability and Statistics: Birla Institute of Technology & Science, Pilani
  • 데이터 과학이란 무엇인가?: IBM
  • Introduction to Particle Accelerators (NPAP MOOC): Lund University
  • General Relativity I: Theoretical Foundations: The Hong Kong University of Science and Technology

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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