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: SAS (Software), Logistic Regression, Predictive Modeling, Predictive Analytics, Statistical Modeling, Regression Analysis, Statistical Software, Statistical Analysis, Model Evaluation, Statistical Inference, Model Deployment, Data Analysis, Statistical Methods, Statistical Hypothesis Testing, Probability
★ 4.7 (53) · Intermediate · Course · 1 - 4 Weeks

Macquarie University
Skills you'll gain: Forecasting, Regression Analysis, Time Series Analysis and Forecasting, Predictive Modeling, Model Evaluation, Microsoft Excel, Statistical Modeling, Business Modeling, Statistical Methods, Correlation Analysis, Statistical Analysis, Data Visualization
★ 4.9 (112) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Logistic Regression, Model Evaluation, Data Preprocessing, Model Optimization, Predictive Modeling, R Programming, Feature Engineering, Risk Modeling, Applied Machine Learning, Regression Analysis, Predictive Analytics, Machine Learning Methods, Financial Modeling, Machine Learning, Supervised Learning, Credit Risk, Analytics, Performance Metric, Dimensionality Reduction, Data Science
Mixed · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Logistic Regression, Forecasting, Data Processing, Predictive Analytics, Predictive Modeling, Statistical Modeling, Data Analysis, Market Data, Analytics, Regression Analysis, Data Preprocessing, Model Evaluation, Python Programming, Probability & Statistics, Data Ethics, Probability, Ethical Standards And Conduct
★ 4.5 (43) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Optimization, Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Fine-tuning, Applied Machine Learning, Machine Learning, Data Analysis
★ 4.9 (8) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Visualization, Statistical Analysis, Predictive Modeling, Advanced Analytics, R (Software), R Programming, Statistical Methods, Data Manipulation, Business Analytics, Data Analysis, Predictive Analytics, Analysis, Probability & Statistics, Analytics, Analytical Skills, Statistical Modeling, Data Analysis Software, Regression Analysis, Statistical Programming, Time Series Analysis and Forecasting
Beginner · Course · 1 - 4 Weeks

Howard University
Skills you'll gain: Linear Algebra, Data Visualization, Plot (Graphics), Scientific Visualization, NumPy, Mathematical Software, Algebra, Jupyter, Mathematical Modeling, Data Science, Software Development Tools, Python Programming, Software Installation, Data Manipulation, Git (Version Control System)
★ 4.4 (16) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Data Processing, Apache Spark, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis, Model Training
★ 4.7 (34) · Intermediate · Guided Project · Less Than 2 Hours

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

Skills you'll gain: Classification And Regression Tree (CART), Minitab, Decision Tree Learning, Regression Analysis, Predictive Modeling, Statistical Modeling, Business Analytics, Statistical Methods, Advanced Analytics, Logistic Regression, Data-Driven Decision-Making, Scatter Plots, Plot (Graphics), Model Evaluation, Exploratory Data Analysis, Statistical Analysis, Case Studies, Responsible AI
Mixed · Course · 1 - 4 Weeks

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
★ 4.4 (17) · Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Model Evaluation, Regression Analysis, Predictive Modeling, R Programming, Statistical Inference, Logistic Regression, Model Training, Machine Learning, Classification Algorithms, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms
★ 4.1 (18) · Intermediate · Course · 1 - 3 Months