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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.


More to explore:

Popular Linear Regression Courses and Certifications


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    DeepLearning.AI

    Réseaux neuronaux et Deep Learning

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

    4.9
    Rating, 4.9 out of 5 stars
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    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    J

    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Image Analysis, Machine Learning, Computer Vision, Model Evaluation, Supervised Learning, Algorithms, Statistical Methods, Linear Algebra, Probability

    4.3
    Rating, 4.3 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Data Analysis and Hypothesis Testing

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation, Python Programming, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
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    127 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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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

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Aprendiendo Python con textos, números y ecuaciones

    Skills you'll gain: Program Development, Python Programming, Jupyter, Algorithms, Engineering Calculations, Computer Programming, Mathematical Modeling, Linear Algebra, Applied Mathematics

    4.8
    Rating, 4.8 out of 5 stars
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    36 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: AI Enablement, Model Evaluation, Performance Metric, Artificial Intelligence and Machine Learning (AI/ML), Strategic Leadership, Responsible AI, Machine Learning Algorithms, Data Quality, Model Deployment, Machine Learning, Algorithms, Classification Algorithms, Artificial Neural Networks, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements, Data Management

    4.8
    Rating, 4.8 out of 5 stars
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    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Classification - Fundamentals & Practical Applications

    Skills you'll gain: Classification Algorithms, Model Evaluation, Machine Learning Algorithms, Logistic Regression, Predictive Modeling, Applied Machine Learning, Machine Learning Methods, Supervised Learning, Data Modeling, Analytics, Analysis, Data Analysis, Business Metrics, Feature Engineering, Advanced Analytics, Machine Learning, Scikit Learn (Machine Learning Library), Performance Metric, Data Visualization, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
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    6 reviews

    Advanced · Course · 1 - 3 Months

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    Coursera

    Medical Insurance Premium Prediction with Machine Learning

    Skills you'll gain: Data Visualization, Keras (Neural Network Library), Data Preprocessing, Artificial Neural Networks, Interactive Data Visualization, Predictive Modeling, Tensorflow, Applied Machine Learning, Feature Engineering, Data Science, Predictive Analytics, Data Manipulation, Machine Learning, Model Evaluation, Regression Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    26 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow Google Cloud 日本語版

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

    4.4
    Rating, 4.4 out of 5 stars
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    152 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Basic Statistics in Python (Correlations and T-tests)

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Statistical Visualization, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
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    35 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    EDUCBA

    Lean Six Sigma Green Belt Professional Training

    Skills you'll gain: Process Mapping, Six Sigma Methodology, Lean Six Sigma, Organizational Change, Lean Methodologies, Statistical Hypothesis Testing, Organizational Leadership, Quality Management, Process Improvement, Correlation Analysis, Project Scoping, Data-Driven Decision-Making, Root Cause Analysis, Statistical Analysis, Continuous Improvement Process, Sampling (Statistics), Statistical Methods, Process Analysis, Project Management, Data Literacy

    5
    Rating, 5 out of 5 stars
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    25 reviews

    Beginner · Specialization · 1 - 3 Months

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    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
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    37 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Réseaux neuronaux et Deep Learning: DeepLearning.AI
  • Introduction to Neural Networks: Johns Hopkins University
  • AI Workflow: Data Analysis and Hypothesis Testing: IBM
  • Probability and Statistics: Birla Institute of Technology & Science, Pilani
  • Aprendiendo Python con textos, números y ecuaciones: Coursera
  • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
  • Classification - Fundamentals & Practical Applications: Corporate Finance Institute
  • Medical Insurance Premium Prediction with Machine Learning: Coursera
  • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
  • Basic Statistics in Python (Correlations and T-tests): 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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