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  • Regression Analysis

Regression Analysis Courses

Regression analysis courses can help you learn statistical modeling, hypothesis testing, and data interpretation. You can build skills in understanding relationships between variables, making predictions, and assessing model accuracy. Many courses introduce tools like R, Python, and Excel, which are commonly used for performing regression analysis and visualizing data trends.


Popular Regression Analysis Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Accounting Data Analytics with Python

    Skills you'll gain: Matplotlib, Pandas (Python Package), Seaborn, SQL, Data Visualization, Data Preprocessing, Jupyter, Data Manipulation, NumPy, Regression Analysis, Accounting, Database Management, Analytics, Descriptive Statistics, Relational Databases, Statistical Analysis, Python Programming, Data Analysis Software, Data Structures

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    112 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rutgers the State University of New Jersey

    Demand Analytics

    Skills you'll gain: Demand Planning, Customer Demand Planning, Regression Analysis, Data Collection, Supply Chain Planning, Statistical Analysis, Forecasting, Marketing Analytics, Predictive Analytics, Advanced Analytics, Trend Analysis, Predictive Modeling, Time Series Analysis and Forecasting, Data Preprocessing, Exploratory Data Analysis, Model Evaluation, Data Visualization, Data Visualization Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    296 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization

    4.7
    Rating, 4.7 out of 5 stars
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    417 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.6
    Rating, 4.6 out of 5 stars
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    304 reviews

    Beginner · 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

  • Status: Preview
    Preview
    P

    Peking University

    医学统计学与SPSS软件(基础篇)

    Skills you'll gain: SPSS, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Statistical Methods, Regression Analysis, Biostatistics, Correlation Analysis, Data Analysis Software, Statistical Inference, Probability & Statistics, Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    159 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Introduction to Artificial Intelligence

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Applied Machine Learning, Deep Learning, Responsible AI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Neural Networks, Convolutional Neural Networks, Regression Analysis, Law, Regulation, and Compliance, Classification Algorithms, Business Ethics, Governance

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    56 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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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    66 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistical Learning for Data Science

    Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Classification Algorithms, Supervised Learning, R Programming, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning, Random Forest Algorithm

    Build toward a degree

    4
    Rating, 4 out of 5 stars
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    20 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Introduction to Data Science Techniques

    Skills you'll gain: Statistical Analysis, Time Series Analysis and Forecasting, Data Analysis, Model Evaluation, Data Visualization, Exploratory Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Data Cleansing, Analytics, Regression Analysis, R Programming, Statistical Software, Forecasting, Data Preprocessing, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
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    21 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, AI Security, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, AI Product Strategy, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Applied Machine Learning, Logistic Regression, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Data Literacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    79 reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • Accounting Data Analytics with Python: University of Illinois Urbana-Champaign
  • Demand Analytics: Rutgers the State University of New Jersey
  • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
  • Machine Learning Introduction for Everyone: IBM
  • NVIDIA: Fundamentals of Machine Learning: Whizlabs
  • 医学统计学与SPSS软件(基础篇): Peking University
  • Introduction to Artificial Intelligence: University of Illinois Urbana-Champaign
  • Design Thinking and Predictive Analytics for Data Products: University of California San Diego
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Statistical Learning for Data Science: University of Colorado Boulder

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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