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.

Board Infinity
Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Machine Learning Methods, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Test Script Development, Model Evaluation, Unsupervised Learning, Containerization, Data Processing, Data Wrangling, Unit Testing, Development Testing, Software Development, Python Programming, Application Programming Interface (API)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Performance Metric, Predictive Modeling, Data-Driven Decision-Making, Failure Analysis, Statistical Analysis, Statistical Hypothesis Testing, Sampling (Statistics)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Regression Analysis, Time Series Analysis and Forecasting, Forecasting, People Analytics, Trend Analysis, Microsoft Excel, Statistical Modeling, Excel Formulas, Predictive Modeling, Correlation Analysis, Statistical Methods, Predictive Analytics, Statistical Analysis, Data Analysis Software, Analytical Skills, Probability & Statistics, Graphing, Data Manipulation
Mixed · Course · 1 - 3 Months

Clemson University
Skills you'll gain: Dimensionality Reduction, Model Evaluation, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Data Preprocessing, Statistical Methods, Data Wrangling, Plot (Graphics), Descriptive Statistics, Data Analysis, Data Visualization Software, Applied Machine Learning, Pandas (Python Package), Data Mining, Data-Driven Decision-Making
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Analytical Skills, Statistical Methods, Exploratory Data Analysis, R (Software), Business Analytics, Data Analysis, Statistical Analysis, Data Visualization, Analytics, Statistical Visualization, R Programming, Analysis, Statistical Programming, Predictive Analytics, Statistical Modeling, Data Structures, Statistical Software, Time Series Analysis and Forecasting, Data Manipulation, Regression Analysis
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Precision Medicine, Clinical Trials, Data-Driven Decision-Making, Analysis, Decision Intelligence, Business Analytics, Data Science, Strategic Decision-Making, Decision Making, Clinical Research, Graphing, Health Policy, Random Forest Algorithm, Medical Science and Research, Treatment Planning, Applied Machine Learning, A/B Testing, Machine Learning, Online Advertising
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Descriptive Statistics, Pandas (Python Package), Data Visualization, Plot (Graphics), Analysis, Histogram, Statistical Analysis, Python Programming, Software Installation
★ 4.8 (6) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Import/Export, NumPy, Pandas (Python Package), Pivot Tables And Charts, Business Reporting, Data Manipulation, Analytics, Data Processing, Data Wrangling, Business Analytics, Data Cleansing, Data Analysis, Data Transformation, Data Management, Linear Algebra
Mixed · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Information Architecture, User Experience, UI/UX Research, User Experience Design, Persona (User Experience), Design Research, UI/UX Strategy, Experience Design, Solution Design, User Centered Design, Usability Testing, Persona Development, Usability, Qualitative Research, Interviewing Skills, Content Creation, Storytelling
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Wireframing, Web Content, Web Design, Information Architecture, Collaborative Software
Beginner · Guided Project · Less Than 2 Hours

University of Maryland, College Park
Skills you'll gain: Data Integration, R (Software), Data Synthesis, Data Ethics, R Programming, Informed Consent, Data Sharing, Statistical Methods, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Logistic Regression, Information Privacy
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Anomaly Detection, Classification Algorithms, Linear Algebra
Intermediate · Course · 1 - 3 Months