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.

SkillUp
Skills you'll gain: Forecasting, Classification Algorithms, Dimensionality Reduction
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Accounting Records, Auditing, Record Keeping, Compliance Auditing, Metadata Management, Records Management, Financial Auditing, Document Management, Organizational Skills, Operational Efficiency, Information Management, Information Architecture, QuickBooks (Accounting Software), Systems Design, File Management, Data Validation, Verification And Validation, Excel Formulas, Microsoft Excel
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Minitab, Predictive Analytics, Statistical Visualization, Data Visualization Software, Statistical Analysis, Data-Driven Decision-Making, Descriptive Statistics, Data Analysis, Regression Analysis, Data Manipulation
Beginner · Course · 1 - 4 Weeks

IESE Business School
Skills you'll gain: Corporate Finance, Financial Management, Financial Modeling, Financial Analysis, Capital Budgeting, Portfolio Management, Investments, Return On Investment, Cost Estimation, Portfolio Risk, Business Valuation, Capital Markets, Risk Management, Correlation Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Information Architecture, Web Design, Web Design and Development, Web Development, Web Development Tools, HTML and CSS, Usability, Verification And Validation, Content Management, User Interface and User Experience (UI/UX) Design
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Graphing, Applied Mathematics, Data Science, Mathematical Theory & Analysis, Data Analysis, Statistical Methods, Derivatives
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Model Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Data Preprocessing, Risk Modeling, Treatment Planning, Data Analysis, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Feature Engineering, Patient Treatment, Image Analysis, Applied Machine Learning, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm, Forecasting
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Object Oriented Programming (OOP), Data Visualization, Seaborn, Flask (Web Framework), Computer Programming, Web Applications, Statistical Methods, Data Analysis Software, Pandas (Python Package), Probability & Statistics, Data Manipulation, Data Structures, UI Components
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Gemini, Generative AI Agents, Command-Line Interface, Code Review, Computer Programming Tools, Application Development, Secure Coding, Software Installation, Information Architecture, User Flows, Software Architecture
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Survey Creation, Data Literacy, Data Visualization, Data Analysis, Peer Review, Research Design, Statistics, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Research, Probability, Quantitative Research, Analytics, Probability Distribution, Analysis, Logistic Regression, Report Writing, Correlation Analysis, Statistical Hypothesis Testing
Beginner · Specialization · 3 - 6 Months

University of Toronto
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Traffic Flow Optimization, Artificial Neural Networks, Global Positioning Systems, Machine Controls, Hardware Architecture, Systems Architecture, Graph Theory, Estimation, Machine Learning Methods
Advanced · Specialization · 3 - 6 Months