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

O.P. Jindal Global University
Skills you'll gain: Data Mining, Predictive Analytics, Business Analytics, Dimensionality Reduction, Forecasting, Data-Driven Decision-Making, Customer Analysis, Regression Analysis, Demand Planning, Classification Algorithms, Machine Learning Methods, Logistic Regression, Decision Tree Learning, Artificial Neural Networks
Build toward a degree
Mixed · Course · 3 - 6 Months

IBM
Skills you'll gain: Data Storytelling, Data Mining, Data Science, Data-Driven Decision-Making, Data Analysis, Business Analytics, Big Data, Digital Transformation, Analytics, Regression Analysis, Apache Hadoop, Machine Learning, Deep Learning, Cloud Computing
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Search Engine Optimization, Content Management, Web Content, Web Design, Information Architecture, Web Design and Development, Goal Setting, Project Implementation, Project Closure
Beginner · Guided Project · Less Than 2 Hours
Skills you'll gain: Convolutional Neural Networks, Random Forest Algorithm, Recurrent Neural Networks (RNNs), Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Computer Vision, Classification Algorithms, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms
Intermediate · Course · 1 - 3 Months

Edureka
Skills you'll gain: PySpark, Applied Machine Learning, Machine Learning, Logistic Regression
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Keras (Neural Network Library), Data Preprocessing, Artificial Neural Networks, Interactive Data Visualization, Predictive Modeling, Tensorflow, Applied Machine Learning, Feature Engineering, Data Science, Predictive Analytics, Data Manipulation, Machine Learning, Model Evaluation, Regression Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

University of Washington
Skills you'll gain: Model Evaluation, Regression Analysis, Supervised Learning, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Feature Engineering, Linear Algebra, NumPy, Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: Process Mapping, Six Sigma Methodology, Lean Six Sigma, Quality Improvement, Organizational Change, Lean Methodologies, Statistical Hypothesis Testing, Organizational Leadership, Quality Management, Process Analysis, Correlation Analysis, Project Scoping, Data-Driven Decision-Making, Root Cause Analysis, Statistical Analysis, Process Improvement, Continuous Improvement Process, Sampling (Statistics), Statistical Methods, Operational Excellence
Beginner · Specialization · 1 - 3 Months

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

Instituto Tecnológico de Aeronáutica
Skills you'll gain: Control Systems, Engineering Calculations, Automation Engineering, Simulation and Simulation Software, Digital Signal Processing, Matlab, Process Control, Embedded Systems, Engineering Analysis, Electrical and Computer Engineering, Mathematical Modeling, Performance Testing, Systems Analysis, Estimation, Linear Algebra
Intermediate · Course · 1 - 4 Weeks