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.

Coursera
Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Feature Engineering, Data Analysis, Statistics, Exploratory Data Analysis, Probability & Statistics, Data Visualization Software, Correlation Analysis, Applied Machine Learning
Beginner · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision
Intermediate · Course · 1 - 3 Months

Skills you'll gain: PHP (Scripting Language), File I/O, Web Applications, Usability, Information Architecture, Responsive Web Design, Hypertext Markup Language (HTML), Front-End Web Development, MySQL, Web Design and Development, User Experience Design, Browser Compatibility, User Interface (UI), HTML and CSS, Verification And Validation, User Interface (UI) Design, Server Side, Semantic Web, Back-End Web Development, Javascript
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Selenium (Software), Test Automation, Test Data, Test Case, Test Script Development, Test Execution Engine, Regression Testing, Integration Testing, Java, Performance Testing, Automation
Intermediate · Course · 3 - 6 Months

Northeastern University
Skills you'll gain: Data Mining, Exploratory Data Analysis, Model Evaluation, Dimensionality Reduction, Data Preprocessing, Data Cleansing, Data Transformation, Data-Driven Decision-Making, Predictive Analytics, Forecasting, Big Data, Data Analysis, Applied Machine Learning, Statistical Analysis, Classification Algorithms, Data Visualization Software, Unsupervised Learning, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Universidades Anáhuac
Skills you'll gain: Business Analytics, R Programming, Statistical Analysis, Correlation Analysis, Data Analysis, Analysis, Analytics, Exploratory Data Analysis, Unsupervised Learning, Advanced Analytics, Statistical Methods, Data Visualization, Probability & Statistics, Business Analysis, Machine Learning Algorithms, Data Manipulation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Decision Tree Learning, Credit Risk, Random Forest Algorithm, Feature Engineering, Financial Modeling, Logistic Regression, Data Analysis, Statistical Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Classification Algorithms
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Import/Export, NumPy, Pandas (Python Package), Pivot Tables And Charts, Business Reporting, Data Manipulation, Analytics, Business Analytics, Data Cleansing, Data Analysis Software, Retail Store Operations, Data Transformation, Python Programming, Linear Algebra
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Machine Learning, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Generative AI, Web Content, Web Analytics and SEO, Information Architecture, Google Cloud Platform, Prompt Engineering, Content Management, User Interface and User Experience (UI/UX) Design
Beginner · Course · 1 - 4 Weeks