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 Michigan
Skills you'll gain: R (Software), Model Evaluation, Statistical Modeling, Statistics, Data Visualization, Data Wrangling, Data Manipulation, Correlation Analysis, Histogram, Data Analysis, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing, Scripting, Package and Software Management, Data Import/Export
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Convolutional Neural Networks, Deep Learning, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Classification Algorithms, Machine Learning, Supervised Learning, Data Processing, Linear Algebra
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: IBM Cloud, Cryptography, Algorithms, Python Programming, Linear Algebra, Programming Principles, Computer Science, Theoretical Computer Science, Test Case, Jupyter, Physics, Simulations, System Implementation, Software Installation, Debugging
Beginner · Course · 3 - 6 Months
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning
Advanced · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Visualization, Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation, Python Programming, Machine Learning
Advanced · Course · 1 - 4 Weeks

Rice University
Skills you'll gain: Physics, Mechanics, electromagnetics, Vibrations, Materials science, Applied Mathematics, Geometry, Physical Science, Engineering Analysis, Trigonometry, Mathematical Modeling, Advanced Mathematics, Calculus, Differential Equations, Linear Algebra, Algebra, Mathematical Theory & Analysis, Problem Solving
Intermediate · Specialization · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Computational Logic, System Requirements, Functional Requirement, Theoretical Computer Science, Systems Analysis, Verification And Validation, Control Systems, Linear Algebra, Differential Equations, Applied Mathematics
Build toward a degree
Intermediate · Course · 1 - 3 Months

Columbia University
Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Algorithms, Linear Algebra, Machine Learning Algorithms
Beginner · Course · 1 - 3 Months

Universidad de los Andes
Skills you'll gain: Structural Analysis, Engineering Analysis, Engineering Calculations, Finite Element Methods, Civil Engineering, Mathematical Modeling, Numerical Analysis, Python Programming, NumPy, Linear Algebra, Simulation and Simulation Software, Plot (Graphics)
Advanced · Course · 1 - 3 Months

Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Processing, Deep Learning, Data Transformation, Model Deployment, Machine Learning Software, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis, Regression Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Portfolio Risk, Portfolio Management, Risk Management, Financial Market, Financial Modeling, Investments, Correlation Analysis, Market Data, Return On Investment, Analysis, Statistics
Intermediate · Guided Project · Less Than 2 Hours