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  • Regression Models

Regression Models Courses

Regression models courses can help you learn statistical analysis, hypothesis testing, and data visualization techniques. You can build skills in interpreting coefficients, assessing model fit, and performing variable selection. Many courses introduce tools like R, Python, and Excel, that support implementing regression techniques and analyzing data sets.

Popular Regression Models Courses and Certifications


  • C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Statistical Visualization, Data Preprocessing, Data Visualization Software, Model Deployment, Exploratory Data Analysis, Data Manipulation, Data Wrangling, Model Training, Predictive Modeling, Model Optimization, R Programming, Data Processing, R (Software), Ggplot2, Predictive Analytics, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Colorado Boulder

    Modern Regression Analysis in R

    Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Statistical Programming, Statistical Analysis, Predictive Modeling, Predictive Analytics, Probability & Statistics, Correlation Analysis, Model Evaluation, Plot (Graphics)

    4.3 stars, 40 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.3 (40) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
  • S

    SAS

    Modeling Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), SAS (Software), Forecasting, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Statistical Analysis, Statistical Methods, Data Analysis Software, Predictive Modeling, Statistical Modeling, Statistical Software, Bayesian Statistics, Model Evaluation

    Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • C

    CertNexus

    Build Regression, Classification, and Clustering Models

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Training, Unsupervised Learning, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Model Optimization, Machine Learning Methods, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Performance Tuning

    4.5 stars, 21 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.5 (21) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • E

    Edureka

    AutoML: Build ML Models without Code

    Skills you'll gain: Image Analysis, Model Deployment, Reinforcement Learning, Google Cloud Platform, Computer Vision, No-Code Development, Feature Engineering, Applied Machine Learning, Natural Language Processing, Model Training, Google Sheets, Deep Learning, Machine Learning Software, Cloud Deployment, Convolutional Neural Networks, Model Evaluation, Predictive Modeling, Machine Learning, Cloud Platforms, Data Science

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • E

    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    5 stars, 12 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 5 (12) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Mathematical Software, Machine Learning Methods, Numerical Analysis, Applied Mathematics, Applied Machine Learning, Linear Algebra, Artificial Neural Networks, Deep Learning, Mathematical Theory & Analysis, Derivatives

    4.7 stars, 5.8K reviews, Beginner, Course, 1 - 3 Months

    ★ 4.7 (5.8K) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • I

    IBM

    Data Analysis with Python

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Model Evaluation, Data Cleansing, Data Preprocessing, Data Manipulation, Data Analysis, Data Processing, Model Training, Scatter Plots, Statistical Analysis, Predictive Modeling, Regression Analysis, Statistical Methods, Data Transformation, Feature Engineering, Data Import/Export, Scientific Visualization, Data Visualization, Python Programming

    4.7 stars, 20K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.7 (20K) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • J

    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Model Training, Machine Learning, GitHub

    4.4 stars, 7.2K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.4 (7.2K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Regression Analysis, Tensorflow, Supervised Learning, Deep Learning, Predictive Modeling, Machine Learning, Statistical Methods, Data Processing, Probability & Statistics

    4.4 stars, 1.9K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.4 (1.9K) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Analysis, Data Science, Statistics, Mathematical Modeling, Data Modeling, Applied Mathematics

    4.4 stars, 800 reviews, Advanced, Specialization, 3 - 6 Months

    ★ 4.4 (800) · Advanced · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • E

    EDUCBA

    Python for Data Analytics & Predictive Modeling

    Skills you'll gain: Model Evaluation, Sampling (Statistics), NumPy, Pandas (Python Package), Data Literacy, Feature Engineering, Statistical Visualization, Data Analysis, Predictive Modeling, Analytics, Regression Analysis, Predictive Analytics, Statistics, Analysis, Computational Thinking, Data Science, Business Intelligence, Applied Machine Learning, Data Quality, Machine Learning

    Beginner · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free trial
    Free trial
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In summary, here are 10 of our most popular regression models courses

  • Tidymodels in R: Building tidy machine learning models: Coursera
  • Modern Regression Analysis in R: University of Colorado Boulder
  • Modeling Time Series and Sequential Data: SAS
  • Build Regression, Classification, and Clustering Models: CertNexus
  • AutoML: Build ML Models without Code: Edureka
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • Data Analysis with Python: IBM
  • Data Science: Statistics and Machine Learning: Johns Hopkins University
  • Introduction to Neural Networks and PyTorch: IBM

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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