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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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    N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Machine Learning Algorithms, Statistical Machine Learning, Random Forest Algorithm, Decision Tree Learning, Machine Learning, Supervised Learning, Applied Machine Learning, Deep Learning, Feature Engineering, Classification Algorithms, Unsupervised Learning, Dimensionality Reduction, Artificial Neural Networks, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    35 reviews

    Intermediate · Course · 3 - 6 Months

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    University of Colorado Boulder

    Data Science Methods for Quality Improvement

    Skills you'll gain: Process Capability, Sampling (Statistics), R (Software), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Data Analysis Software, Probability, Descriptive Statistics, Quality Improvement, Process Engineering

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
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    53 reviews

    Intermediate · Specialization · 3 - 6 Months

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    C

    Coursera

    Quantitative Finance & Risk Modeling

    Skills you'll gain: Financial Modeling, Descriptive Statistics, Data Literacy, Financial Forecasting, Reconciliation, Financial Analysis, A/B Testing, Capital Expenditure, Portfolio Risk, Data Cleansing, Regression Analysis, Exploratory Data Analysis, Data Analysis, Risk Analysis, Risk Management, Predictive Modeling, R Programming, Statistical Analysis, Machine Learning, Python Programming

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    S

    Simplilearn

    Business Analytics using Excel

    Skills you'll gain: Data Visualization, Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Dashboard, Excel Macros, Data Analysis, Analytics, Data Cleansing, Regression Analysis, Descriptive Statistics

    4.5
    Rating, 4.5 out of 5 stars
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    36 reviews

    Beginner · Course · 1 - 4 Weeks

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    É

    École Polytechnique Fédérale de Lausanne

    Mécanique Lagrangienne

    Skills you'll gain: Vibrations, Mechanics, Engineering Analysis, Linear Algebra, Physics, Advanced Mathematics, Differential Equations, Calculus, Mathematical Modeling, Experimentation

    4.6
    Rating, 4.6 out of 5 stars
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    38 reviews

    Mixed · Course · 1 - 3 Months

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    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Deep Learning, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Classification Algorithms, Machine Learning, Supervised Learning, Data Processing, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 4 Weeks

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    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Autoencoders, Anomaly Detection, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Data Preprocessing, Random Forest Algorithm, Data Manipulation, Feature Engineering, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
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    74 reviews

    Intermediate · Course · 1 - 3 Months

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    U

    University of Colorado System

    Genetic Epidemiology Foundations

    Skills you'll gain: Epidemiology, Biostatistics, Statistical Analysis, Data Quality, Statistical Modeling, Probability & Statistics, Molecular Biology, Statistical Methods, Statistical Hypothesis Testing, Regression Analysis, Data Validation, Biology

    4.5
    Rating, 4.5 out of 5 stars
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    51 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of California San Diego

    Design Thinking and Predictive Analytics for Data Products

    Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Predictive Analytics, Data Manipulation, Classification Algorithms, Applied Machine Learning, Design Thinking, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Cleansing, Data Preprocessing, Regression Analysis, Tensorflow, Statistical Methods, Logistic Regression

    4.5
    Rating, 4.5 out of 5 stars
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    68 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Python for Finance: Investment Fundamentals & Data Analytics

    Skills you'll gain: Portfolio Management, Risk Analysis, Investment Management, Time Series Analysis and Forecasting, Financial Modeling, Object Oriented Programming (OOP), Statistical Analysis, Simulations, Regression Analysis, Jupyter, Python Programming, Programming Principles, Pandas (Python Package), NumPy, Matplotlib, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
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    12 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Machine Learning Algorithms with Python in Business Analytics

    Skills you'll gain: Classification Algorithms, Business Analytics, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Business Intelligence, Predictive Modeling, Machine Learning, Python Programming, Decision Tree Learning, Supervised Learning, Model Evaluation

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Statistical Analysis, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    23 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • Data Science Methods for Quality Improvement: University of Colorado Boulder
  • Quantitative Finance & Risk Modeling: Coursera
  • Business Analytics using Excel: Simplilearn
  • Mécanique Lagrangienne: École Polytechnique Fédérale de Lausanne
  • NVIDIA: Fundamentals of Deep Learning: Whizlabs
  • Practical Machine Learning on H2O: H2O.ai
  • Genetic Epidemiology Foundations: University of Colorado System
  • Design Thinking and Predictive Analytics for Data Products: University of California San Diego
  • Python for Finance: Investment Fundamentals & Data Analytics: 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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