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: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Fine-tuning, Model Evaluation, Hugging Face, Generative AI, Dimensionality Reduction, Model Optimization, Natural Language Processing, OpenAI API, Data Preprocessing, Embeddings, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms
Intermediate · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Predictive Modeling, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Optimization, Calculus, Applied Mathematics, NumPy, Mathematical Software, Numerical Analysis, Machine Learning Algorithms, Tensorflow, Python Programming, Derivatives, Development Environment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Seaborn, Exploratory Data Analysis, Plot (Graphics), Matplotlib, Data Visualization, Scatter Plots, Data Visualization Software, Interactive Data Visualization, Regression Analysis, Statistical Visualization, Box Plots, Descriptive Statistics, Data Presentation, Data-Driven Decision-Making, Data Analysis, Statistical Reporting, Statistical Analysis, Pivot Tables And Charts, Python Programming
Beginner · Specialization · 1 - 3 Months

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

Skills you'll gain: Financial Analysis, Portfolio Management, Financial Modeling, Portfolio Risk, Correlation Analysis, Investment Management, Variance Analysis, Model Optimization
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Object Oriented Programming (OOP), Statistical Machine Learning, Object Oriented Design, Machine Learning Methods, Plot (Graphics), Data Visualization, Seaborn, Flask (Web Framework), Web Development, Computer Programming, Artificial Intelligence and Machine Learning (AI/ML), Programming Principles, Web Applications, Statistical Methods, Data Analysis Software, Back-End Web Development, Pandas (Python Package), Probability & Statistics, Application Development, Data Manipulation
Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: Interactive Data Visualization, Data Mapping, Diagram Design, Information Architecture
Beginner · Guided Project · Less Than 2 Hours

Università di Napoli Federico II
Skills you'll gain: Securities (Finance), Portfolio Management, Equities, Investments, Financial Market, Finance, Portfolio Risk, Investment Management, Risk Modeling, Capital Markets, Statistical Methods, Market Data, Risk Analysis, Regression Analysis, Time Series Analysis and Forecasting, Risk Management
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Fine-tuning, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Tensorflow, Predictive Modeling, Model Optimization, Model Training, Interactive Data Visualization, Time Series Analysis and Forecasting, Model Evaluation
Advanced · Course · 1 - 3 Months

Skills you'll gain: Conversion Funnel Analysis, Web Analytics, Digital Analysis, Customer Analysis, Product Management, Customer Insights, Analytics, Business Analysis, Root Cause Analysis, User Flows, Performance Analysis, Data Presentation, Performance Metric, Key Performance Indicators (KPIs), Data Collection, Regression Analysis, Event Monitoring, Data Capture, Taxonomy
Intermediate · Course · 1 - 4 Weeks