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.

Skills you'll gain: SPSS, SPSS (Software), Market Data, Regression Analysis, Analytics, Data Analysis, Statistical Reporting, Predictive Analytics, Technical Communication, Statistical Analysis, Data-Driven Decision-Making, Statistical Methods, Statistical Modeling, Scatter Plots, Statistical Visualization, Model Evaluation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Analysis, Predictive Analytics, Plot (Graphics), Statistical Methods, Case Studies, Statistical Visualization, Statistical Modeling, Data Validation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, SAS (Software), Logistic Regression, Model Evaluation, Predictive Analytics, Statistical Modeling, Model Training, Statistical Software, Regression Analysis, Business Analytics, Supervised Learning, Statistical Analysis, Data Preprocessing, Statistical Methods, Feature Engineering, Sampling (Statistics)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Statistical Methods, Model Training, Data Visualization, Statistical Modeling, Plot (Graphics), Model Optimization, Predictive Modeling, Data Validation, Data Analysis, R Programming, Supervised Learning, Correlation Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Predictive Analytics, Predictive Modeling, Feature Engineering, Regression Analysis, Analytics, Data Analysis, Data Preprocessing, Data Quality, Data Cleansing, Data Integrity, Model Training, Data Wrangling, Data Validation, Data Transformation
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Model Training, Model Evaluation, Decision Tree Learning, Machine Learning Algorithms, Machine Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Preprocessing, Python Programming, Pandas (Python Package), Seaborn, NumPy, Data Visualization, Statistical Visualization
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Predictive Modeling, Classification Algorithms, Performance Analysis, Statistical Modeling, Regression Analysis, Predictive Analytics, Analysis, Statistical Methods, Business Analysis, Data Cleansing, Data Transformation, Model Optimization, Insurance
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Model Training, Machine Learning, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

University of Colorado Boulder
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)
Build toward a degree
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Statistical Methods, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistics, Statistical Inference, Model Evaluation, Statistical Hypothesis Testing, Integral Calculus
Advanced · Course · 1 - 4 Weeks
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
Intermediate · Course · 1 - 3 Months