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, Applied Mathematics, Data Analysis, Feature Engineering, Applied Machine Learning, Analytics, Data Science, Unsupervised Learning
Beginner · 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
Intermediate · Guided Project · Less Than 2 Hours

Howard University
Skills you'll gain: Data Wrangling, Regression Analysis, Dimensionality Reduction, Data Science, Python Programming, Data Preprocessing, Predictive Modeling, Data Analysis, Linear Algebra, Exploratory Data Analysis, Model Evaluation
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, Machine Learning, Data Analysis
Beginner · 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
Beginner · Guided Project · Less Than 2 Hours

Northeastern University
Skills you'll gain: Operations Research, Applied Mathematics, Mathematical Software, Operational Analysis, Linear Algebra, Mathematical Modeling, Algorithms, Business Modeling, Complex Problem Solving
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Apache Spark, Google Cloud Platform, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis
Intermediate · Guided Project · Less Than 2 Hours

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
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: SAS (Software), Model Evaluation, Logistic Regression, Predictive Modeling, Classification And Regression Tree (CART), Big Data, Regression Analysis, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Amazon Web Services, Regression Analysis, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Machine Learning, Bayesian Statistics, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Howard University
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Algebra, Python Programming, Data Manipulation
Mixed · Course · 1 - 4 Weeks