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: Test Script Development, Selenium (Software)
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming
Intermediate · Course · 1 - 4 Weeks

Universidad Nacional Autónoma de México
Skills you'll gain: Process Engineering, Chemical Engineering, Energy and Utilities, Engineering Design Process, Mechanical Engineering, Engineering Calculations, Control Systems, Cost Estimation, Mathematical Modeling, Simulation and Simulation Software, Safety Standards
Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Classification Algorithms, Reinforcement Learning, Applied Machine Learning, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Supervised Learning, Unsupervised Learning, Random Forest Algorithm, Feature Engineering, Logistic Regression, Data Manipulation
Intermediate · Course · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Operations Research, Network Model, Excel Macros, Strategic Decision-Making, Microsoft Excel, Process Optimization, Transportation, Supply Chain, and Logistics, Transportation Operations, Operational Analysis, Business Modeling, Business Analytics, Financial Modeling
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Structures, Algorithms, Computer Programming, Computational Thinking, Theoretical Computer Science, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Adobe Creative Cloud, Web Content, Digital Publishing, Content Creation, Multimedia, Information Architecture, Layout Design, User Experience Design
Beginner · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Decision Tree Learning, Data Preprocessing, Data Manipulation, Statistical Modeling, R Programming, Supervised Learning, Machine Learning, Classification Algorithms
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Dashboard, Timelines, Database Management, Databases, Project Schedules, Data Visualization, Calendar Management, Workflow Management, Information Architecture, Kanban Principles, Collaborative Software, Content Development and Management
Mixed · Course · 1 - 3 Months