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 Minnesota
Skills you'll gain: Predictive Modeling, Predictive Analytics, Business Analytics, Customer Analysis, Project Design, Applied Machine Learning, Solution Design, Sprint Planning, Machine Learning, Brainstorming, Trend Analysis, Design Thinking, Analysis, Decision Tree Learning, Deep Learning, Time Series Analysis and Forecasting, Quality Control
Beginner · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Deep Learning, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Logical Operations
Skills you'll gain: R Programming, R (Software), Plot (Graphics), Data Visualization, Statistical Visualization, Statistical Modeling, Data Analysis, Data Science, Statistical Analysis, Data Import/Export, Statistical Machine Learning, Machine Learning Methods, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Regression Analysis, Data Structures, Computer Programming, Computer Programming Tools, Software Development
Mixed · Course · 1 - 3 Months

Skills you'll gain: Rmarkdown, Knitr, Exploratory Data Analysis, Dimensionality Reduction, Ggplot2, Plotly, Data Visualization, Data Visualization Software, Statistical Visualization, Data Storytelling, Statistical Analysis, Generative AI, R Programming, Correlation Analysis, Data Analysis, Tidyverse (R Package), Scatter Plots, Descriptive Statistics, Data Cleansing, Data Preprocessing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms
Intermediate · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: Model Evaluation, Data Preprocessing, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Maintainability, Machine Learning Algorithms, Java, Software Architecture, Software Design Patterns, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Wireframing, User Experience Design, User Interface (UI), Mockups, Information Architecture, Miro AI, Application Development
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Financial Data, Data-Driven Decision-Making, Profit and Loss (P&L) Management, Risk Modeling, Lending and Underwriting, Applied Machine Learning, Financial Systems, Operational Analysis, Risk Analysis, Anomaly Detection, Statistical Machine Learning, Financial Regulation, Financial Industry Regulatory Authorities
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Time Series Analysis and Forecasting, Correlation Analysis, Probability & Statistics, Text Mining, Statistical Analysis, Probability Distribution, Data Analysis, Network Analysis, Exploratory Data Analysis, Feature Engineering, Data Structures, Unstructured Data, Data Cleansing, Data Preprocessing, Natural Language Processing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Data Preprocessing, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Data Transformation, Data Manipulation, Model Evaluation, Exploratory Data Analysis, Classification Algorithms, Regression Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Test Driven Development (TDD), Code Review, Continuous Delivery, Software Development Tools, Site Reliability Engineering, Regression Testing, Event Monitoring, Unit Testing, API Testing, Integration Testing, Incident Response, Performance Testing, Root Cause Analysis, Distributed Computing, CI/CD, Microservices
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Mathematical Software, Software Installation, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Trigonometry, Programming Principles, Data Manipulation, Engineering Calculations, Linear Algebra, Data Management
Mixed · Course · 1 - 4 Weeks