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.

Skills you'll gain: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Manipulation, Scikit Learn (Machine Learning Library), Data Transformation, Pandas (Python Package), NumPy
Mixed · Course · 1 - 3 Months

Macquarie University
Skills you'll gain: Forecasting, Regression Analysis, Time Series Analysis and Forecasting, Business Mathematics, Model Evaluation, Microsoft Excel, Statistical Modeling, Trend Analysis, Statistical Analysis, Data Presentation, Data Visualization Software, Data Manipulation
★ 4.9 (111) · Intermediate · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Data Science, Probability & Statistics, Dimensionality Reduction, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Ggplot2, Model Evaluation, Data Visualization, Regression Analysis, Predictive Analytics, Predictive Modeling, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Data Analysis
★ 4.2 (13) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Regression Analysis, Exploratory Data Analysis, Model Evaluation, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Deep Learning, Statistical Analysis, Data Analysis, Artificial Neural Networks, Data Import/Export, Matplotlib, Python Programming
★ 4.8 (69) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Applied Machine Learning, Predictive Modeling, Model Evaluation
★ 4.8 (11) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Logistic Regression, Model Evaluation, Data Preprocessing, Predictive Modeling, R Programming, Feature Engineering, Statistical Modeling, Risk Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Data Manipulation, Supervised Learning, Performance Measurement, Credit Risk, Dimensionality Reduction
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Classification Algorithms, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Project Planning, Feature Engineering
★ 5 (7) · Intermediate · Course · 1 - 3 Months

Illinois Tech
Skills you'll gain: Model Evaluation, Data Validation, Regression Analysis, Exploratory Data Analysis, Plot (Graphics), Statistical Modeling, Data Transformation, Correlation Analysis, Statistical Analysis, R Programming, Time Series Analysis and Forecasting, Statistical Inference, Statistical Hypothesis Testing, Probability Distribution
★ 4.9 (11) · Intermediate · Course · 1 - 4 Weeks

Simplilearn
Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Feature Engineering, Applied Machine Learning, Analytics, Data Science, Unsupervised Learning
Beginner · Course · 1 - 4 Weeks
University of Michigan
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Logistic Regression, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Machine Learning Algorithms, Python Programming, Supervised Learning, Classification Algorithms, Algorithms
★ 4.5 (396) · Beginner · Guided Project · Less Than 2 Hours