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.

Skills you'll gain: Web Content Accessibility Guidelines, User Experience Design, Design and Product, Digital Design, User Interface (UI), Technical Writing, Usability Testing, Design Research, User Centered Design, Content Creation, Style Guides, Content Strategy, Writing, Information Architecture, Product Design
Beginner · Course · 1 - 3 Months

Skills you'll gain: Minitab, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Descriptive Statistics, Statistical Analysis, Predictive Modeling, Statistical Modeling, Data-Driven Decision-Making, Exploratory Data Analysis, Statistical Methods, Statistical Inference
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Cloud Deployment, Amazon Elastic Compute Cloud, Model Evaluation, Continuous Deployment, Continuous Integration, Debugging
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Data Import/Export, Data Manipulation, Predictive Modeling, Statistical Analysis, SQL, Logistic Regression, Regression Analysis, R (Software), Data Analysis, Pandas (Python Package), Excel Macros, Statistical Hypothesis Testing, Software Installation, Data Cleansing, System Configuration
Beginner · Course · 3 - 6 Months

Google Cloud
Skills you'll gain: Continuous Deployment, Application Deployment, CI/CD, Release Management, Cloud Deployment, Regression Testing, Google Cloud Platform, Load Balancing, Application Development, Cloud Computing
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Computer Graphics, 3D Assets, Visualization (Computer Graphics), Computer Graphic Techniques, Application Development, C++ (Programming Language), Software Design, Microsoft Windows, Software Architecture, Application Lifecycle Management, Context Management, System Configuration, Debugging, Mathematical Theory & Analysis, Data Structures, Applied Mathematics, Linear Algebra, Algebra
Beginner · Specialization · 1 - 3 Months

University of Maryland, College Park
Skills you'll gain: Sampling (Statistics), Data Analysis Software, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling
Mixed · Course · 1 - 3 Months

Skills you'll gain: Correlation Analysis, Portfolio Risk, Portfolio Management, Investments, Financial Analysis, Financial Market
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Jupyter, Data Transformation, Logistic Regression, Machine Learning Methods, Health Informatics, Applied Machine Learning, Data Preprocessing, Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Predictive Analytics, Analytics, Classification Algorithms, Pandas (Python Package), Software Installation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation
Advanced · Course · 1 - 3 Months

Skills you'll gain: Selenium (Software), Test Automation, Test Data, Test Case, Test Script Development, Test Execution Engine, Regression Testing, Integration Testing, Java, Performance Testing, Automation
Intermediate · Course · 3 - 6 Months

Universidades Anáhuac
Skills you'll gain: AI Enablement, Artificial Intelligence, Customer Analysis, Business Analytics, Business Intelligence, Image Analysis, Machine Learning, Decision Tree Learning, Virtual Environment, Big Data, Data Analysis, Supervised Learning, Classification Algorithms, Natural Language Processing, Unsupervised Learning
Beginner · Course · 1 - 3 Months