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: Rmarkdown, Knitr, Exploratory Data Analysis, Dimensionality Reduction, Ggplot2, Plotly, Data Visualization, Data Visualization Software, Statistical Visualization, Data Storytelling, Statistical Analysis, Generative AI, R Programming, Correlation Analysis, Data Analysis, Tidyverse (R Package), Scatter Plots, Descriptive Statistics, Data Cleansing, Data Preprocessing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Model Evaluation, Predictive Analytics, Applied Machine Learning, Random Forest Algorithm, Text Mining, Classification Algorithms, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Data Science, Unstructured Data, Data Preprocessing, Algorithms
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Digital Assets, Asset Management, Metadata Management, Cloud Deployment, Content Management, Workflow Management, Data Management, Information Management, Digital Content, Data Architecture, Information Architecture, Brand Management, Technical Services, Enterprise Architecture, Software As A Service, Benchmarking, Vendor Management, Scalability
Beginner · Course · 1 - 3 Months

Skills you'll gain: SAS (Software), Model Deployment, Model Evaluation, Predictive Analytics, Regression Analysis, Business Analytics, Data Preprocessing, Machine Learning Methods, Data Mining, Feature Engineering, Statistical Analysis, Decision Tree Learning, Data Transformation, Artificial Neural Networks
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Data-Driven Decision-Making, Statistical Modeling, Classification Algorithms, Plot (Graphics)
Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Depreciation, Risk Analysis, Actuarial Science, Portfolio Risk, Value Engineering, Cost Benefit Analysis, Strategic Decision-Making, Decision Tree Learning, Operational Analysis, Financial Analysis, Capital Budgeting, Tax Management, Decision Making, Analysis, Data-Driven Decision-Making, Capital Expenditure, Feasibility Studies, Estimation, Income Tax, Economics
Mixed · Course · 1 - 3 Months

Skills you'll gain: Development Environment, Scalability, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Information Architecture, Browser Compatibility, HTML and CSS, Verification And Validation, Semantic Web, Web Design and Development, Web Design, Data Validation, User Interface (UI) Design
Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Deep Learning, Transfer Learning, Image Analysis, Model Deployment, Convolutional Neural Networks, Keras (Neural Network Library), Applied Machine Learning, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics
Beginner · Course · 1 - 4 Weeks