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.

University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Data Literacy, Statistics, Matplotlib, Statistical Software, Probability & Statistics, Model Evaluation, Plotly, Statistical Analysis, Jupyter, Statistical Programming, Statistical Machine Learning, Regression Analysis, Python Programming
Beginner · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Financial Modeling, Descriptive Statistics, Data Literacy, Financial Forecasting, Financial Analysis, Capital Expenditure, Portfolio Risk, Corporate Finance, Data Cleansing, Revenue Forecasting, Regression Analysis, Exploratory Data Analysis, Risk Analysis, Data Analysis, Risk Management, Predictive Modeling, R Programming, Statistical Analysis, Machine Learning, Python Programming
Intermediate · Specialization · 3 - 6 Months
University of Michigan
Skills you'll gain: Logistic Regression, Forecasting, Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Sports Medicine, Correlation Analysis, Data Preprocessing, Applied Machine Learning, Injury Prevention, Athletic Training, Analytics, Data Analysis, Statistical Analysis, Python Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Matplotlib, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), NumPy, Pandas (Python Package), Model Evaluation, AI Workflows, Data Preprocessing, Deep Learning, Responsible AI, AWS SageMaker, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Manipulation, Data Ethics, Applied Machine Learning, Data-Driven Decision-Making, Python Programming, AWS CloudFormation
Beginner · Specialization · 3 - 6 Months

University of Pittsburgh
Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Predictive Modeling, Flask (Web Framework), Python Programming, Deep Learning, PyTorch (Machine Learning Library), Programming Principles, Web Applications
Beginner · Specialization · 3 - 6 Months
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, AI Security, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, AI Product Strategy, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Applied Machine Learning, Logistic Regression, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Data Literacy
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Data Storytelling, Data Visualization, Exploratory Data Analysis, Regression Analysis, Data Visualization Software, Data Presentation, Statistical Hypothesis Testing, Sampling (Statistics), Data Ethics, Feature Engineering, Logistic Regression, Model Evaluation, Data Analysis, Statistical Analysis, Tableau Software, Machine Learning, Object Oriented Programming (OOP), Data Science, Interviewing Skills, Python Programming
Build toward a degree
Advanced · Professional Certificate · 3 - 6 Months

Logical Operations
Skills you'll gain: Data Cleansing, Data Preprocessing, Unit Testing, Package and Software Management, Python Programming, Data Science, Computer Programming, Debugging, Scripting, Software Development, Machine Learning, Database Application, Object Oriented Programming (OOP), Regression Analysis, Programming Principles, Scripting Languages, Databases, Object Oriented Design, Relational Databases, User Interface (UI) Design
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: NumPy, Matplotlib, Statistical Methods, Data Visualization, Python Programming, Pandas (Python Package), Seaborn, Machine Learning, Applied Mathematics, Statistical Analysis, Exploratory Data Analysis, Data Science, Probability, Regression Analysis, Linear Algebra, Data Manipulation, Calculus
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Science, Statistical Inference, Data Visualization, Pandas (Python Package), Probability & Statistics, Statistics, Regression Analysis, Apache Hadoop, Big Data, Machine Learning, Data Manipulation, Data Preprocessing, Data Analysis, Analytics, Random Forest Algorithm, Python Programming, Data Mapping, Object Oriented Programming (OOP), JavaScript Frameworks, HTML and CSS
Intermediate · Course · 1 - 3 Months