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: Environmental Social And Corporate Governance (ESG), Business Ethics, Mergers & Acquisitions, Investments, Real Estate, Business Valuation, Econometrics, Financial Analysis, Financial Modeling, Equities, Statistical Methods, Regression Analysis, Corporate Finance, International Finance, Market Dynamics
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Marketing Analytics, Marketing Budgets, Dashboard, Regression Analysis, Marketing Effectiveness, Data-Driven Decision-Making, Analytics, Statistical Analysis, Statistical Methods, Marketing Strategies, Data Analysis, Return On Investment, Data Visualization, Data Storytelling, Marketing Channel, Budgeting
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, NumPy, Regression Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Android Development, User Interface (UI) Design, Animation and Game Design, Mobile Development, Linear Algebra, Computer Graphics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Predictive Modeling, Model Evaluation, Predictive Analytics, Statistical Modeling, Risk Modeling, Decision Tree Learning, Data Analysis, R Programming, Logistic Regression, Feature Engineering, Model Deployment, Data Import/Export, Exploratory Data Analysis, Data Preprocessing
Beginner · Course · 1 - 4 Weeks

University of Amsterdam
Skills you'll gain: Statistical Hypothesis Testing, Statistics, Scientific Methods, Quantitative Research, Data Analysis Software
Beginner · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Financial Forecasting, Forecasting, Applied Machine Learning, Predictive Modeling, Predictive Analytics, Model Evaluation, Business Analytics, Data-Driven Decision-Making, Data Presentation, Business Metrics, Performance Analysis, Regression Analysis, Feature Engineering, Data Science, Stakeholder Communications, Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Statistical Analysis, Predictive Modeling, R Programming, Data Manipulation, Business Analytics, Data Analysis, Probability & Statistics, Regression Analysis, Time Series Analysis and Forecasting, Case Studies, Decision Tree Learning, Data Structures
Beginner · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Analysis, Diagram Design, Probability, Sampling (Statistics), Persuasive Communication, Research, Sample Size Determination, Writing, Case Studies, Oral Expression, Correlation Analysis, Communication, Scientific Methods, Information Architecture, Business Communication, Interactive Learning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Cleansing, Data Transformation, Predictive Modeling, Pandas (Python Package), Applied Machine Learning, Statistical Methods, Regression Analysis, Scikit Learn (Machine Learning Library), Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks