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  • Regression

Regression Courses

Regression courses can help you learn statistical modeling, data analysis techniques, and how to interpret relationships between variables. You can build skills in linear regression, logistic regression, and understanding residuals, along with evaluating model performance. Many courses introduce tools like R, Python, and Excel, that support conducting analyses and visualizing data, allowing you to apply these skills in practical work such as predicting outcomes and making informed decisions based on data.

Popular Regression Courses and Certifications


  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Model Training, Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Preprocessing, Data Import/Export, Machine Learning, Classification Algorithms

    ★ 4.5 (102) · Beginner · Guided Project · Less Than 2 Hours

  • D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Model Deployment, Classification Algorithms, Data Transformation, Regression Analysis

    ★ 4.5 (114) · Intermediate · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Data Science for Business Innovation

    Skills you'll gain: Data Strategy, Data-Driven Decision-Making, Big Data, Data Science, NoSQL, Data Modeling, Data Storage Technologies, Analytics, Business Analytics, Applied Machine Learning, Machine Learning Methods, Data Analysis, Risking, Data Ethics, Machine Learning, Unsupervised Learning, Regression Analysis, Descriptive Analytics, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML)

    ★ 4.3 (274) · Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Mining Quality Prediction Using Machine & Deep Learning

    Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Model Evaluation, Model Training, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Machine Learning, Data Preprocessing, Decision Tree Learning, Deep Learning, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Python Programming

    ★ 4.8 (69) · Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Maryland, College Park

    Dealing With Missing Data

    Skills you'll gain: Sampling (Statistics), Statistical Programming, Statistical Software, Data Analysis Software, Statistical Analysis, STATA (Software), Statistical Methods, R (Software), Statistical Modeling, Regression Analysis, Data Analysis, Logistic Regression

    ★ 3.8 (138) · Mixed · Course · 1 - 3 Months

  • U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Machine Learning Methods, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Machine Learning Software, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Data Analysis Software, Classification Algorithms, Python Programming

    ★ 4.7 (27) · Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Classification Analysis

    Skills you'll gain: Classification Algorithms, Analytical Skills, Data Analysis, Model Evaluation, Logistic Regression, Applied Machine Learning, Supervised Learning, Decision Tree Learning, Machine Learning Algorithms, Machine Learning Methods, Predictive Modeling, Feature Engineering, Fine-tuning, Model Training, Bayesian Statistics

    ★ 5 (7) · Intermediate · Course · 1 - 3 Months

  • V

    Vanderbilt University

    From Data to Decisions: Making Predictions with AI

    Skills you'll gain: Statistical Methods, Data Literacy, Regression Analysis, Statistical Analysis, Correlation Analysis, Technical Communication, Scatter Plots, Data Analysis, Predictive Analytics, Generative AI, AI literacy, Predictive Modeling

    ★ 4.8 (18) · Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Data Analysis with Python

    Skills you'll gain: Unsupervised Learning, Regression Analysis, Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Dimensionality Reduction, Anomaly Detection, Supervised Learning, Analytical Skills, Model Evaluation, Machine Learning Algorithms, Data Analysis, Data Preprocessing, Predictive Modeling, Statistical Analysis, Logistic Regression, Model Training, Statistical Machine Learning, Machine Learning, Data Mining

    ★ 4.7 (29) · Intermediate · Specialization · 3 - 6 Months

  • J

    Johns Hopkins University

    Foundational Mathematics for AI

    Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Artificial Intelligence, Probability, Regression Analysis, Calculus, Mathematical Software, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Model Optimization, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction

    ★ 4.9 (10) · Beginner · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Statistical Modeling, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Predictive Modeling, Probability & Statistics, Bayesian Statistics, Dimensionality Reduction, Statistical Hypothesis Testing, Model Optimization, Feature Engineering

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

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

  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Machine Learning with Apache Spark: IBM
  • Data Science for Business Innovation: 28DIGITAL
  • Mining Quality Prediction Using Machine & Deep Learning: Coursera
  • Dealing With Missing Data: University of Maryland, College Park
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Classification Analysis: University of Colorado Boulder
  • From Data to Decisions: Making Predictions with AI: Vanderbilt University
  • Data Analysis with Python: University of Colorado Boulder

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