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.

Simplilearn
Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Data Analysis, Analytical Skills, Feature Engineering, Applied Machine Learning, Data Science, Data Transformation, Algebra
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra, Numerical Analysis
★ 4.5 (193) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Logistic Regression, NumPy, Machine Learning Methods, Jupyter, Scikit Learn (Machine Learning Library), Data Science, Machine Learning, Machine Learning Algorithms, Python Programming
★ 4.5 (396) · 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

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

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)
★ 4.6 (63) · Intermediate · Course · 1 - 3 Months

Howard University
Skills you'll gain: Data Wrangling, Regression Analysis, Data Manipulation, Dimensionality Reduction, Data Science, Python Programming, Data Preprocessing, Predictive Modeling, Statistical Modeling, Data Analysis, Statistical Methods, Linear Algebra, Predictive Analytics, Model Training, Unsupervised Learning, Model Evaluation
★ 4.4 (8) · Mixed · 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 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 Cleansing, PySpark, Data Manipulation, Data Preprocessing, Apache Spark, Data Analysis, Applied Machine Learning, Predictive Modeling, Predictive Analytics, Big Data, Machine Learning, Regression Analysis, Model Training
★ 4.7 (34) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Machine Learning Methods, Statistical Methods, R (Software), Applied Machine Learning, Statistical Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Programming, Correlation Analysis, Data Manipulation, Supervised Learning
★ 4.6 (16) · Mixed · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Data Wrangling, Keras (Neural Network Library), Unsupervised Learning, Model Training, Data Manipulation, Machine Learning Algorithms, R (Software), Apache Hadoop, Data Science, Machine Learning, Tidyverse (R Package), Data Analysis, Bayesian Network, Logistic Regression
Intermediate · Course · 3 - 6 Months