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.

Arizona State University
Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis
Beginner · Course · 1 - 4 Weeks

MathWorks
Skills you'll gain: Data Science, Data Processing, Applied Machine Learning, Machine Learning, Geographic Information Systems, Big Data, Data Visualization, Data Analysis, Data Integration, Amazon Web Services, Cloud Computing, Matlab, Data Cleansing, Regression Analysis, Classification Algorithms
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Data Preprocessing, Applied Machine Learning
Intermediate · Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Control Systems, Vibrations, Systems Engineering, Mechanics, Numerical Analysis, Differential Equations, Mathematical Modeling, Simulation and Simulation Software, Engineering Analysis, Simulations, Safety Assurance, Geometry, Linear Algebra, Torque (Physics), Applied Mathematics, Physics, Calculus, Mathematical Theory & Analysis
Advanced · Specialization · 1 - 3 Months

Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Splunk, Data Modeling, Role-Based Access Control (RBAC), System Monitoring, Incident Response, Computer Security Incident Management, User Accounts, Security Information and Event Management (SIEM), Authorization (Computing), Machine Learning, Event Monitoring, Systems Administration, Performance Tuning, Data Visualization, Threat Detection, Anomaly Detection, Continuous Monitoring, Correlation Analysis, Data Analysis, Authentications
Advanced · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Predictive Modeling, Data Mining, Deep Learning, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Power BI, Data Ethics, Data Visualization Software, Data Analysis, Statistical Analysis, Correlation Analysis, Business Intelligence, Advanced Analytics, Data Analysis Expressions (DAX), Analytics, Data-Driven Decision-Making, Exploratory Data Analysis, Trend Analysis, Time Series Analysis and Forecasting, Scatter Plots, Forecasting, Geospatial Information and Technology, Root Cause Analysis
Beginner · Course · 1 - 4 Weeks

The State University of New York
Skills you'll gain: Performance Analysis, Analytics, Data-Driven Decision-Making, Scheduling, Labor Relations, Team Performance Management, Linear Algebra, Data Management, Administration, Contract Management, Team Management, Data Analysis Software, R (Software), Contract Negotiation, Operations Management
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Skills you'll gain: Mechanics, Differential Equations, Mathematical Modeling, Engineering Analysis, Geometry, Linear Algebra, Simulation and Simulation Software, Numerical Analysis, Applied Mathematics, Physics, Calculus
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Pipelines, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Logistic Regression, Cloud Deployment, Data Strategy, Supervised Learning, Model Evaluation, Performance Tuning, MLOps (Machine Learning Operations), Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming
Intermediate · Course · 1 - 4 Weeks