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: NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Model Evaluation
Beginner · Course · 3 - 6 Months

Skills you'll gain: Time Series Analysis and Forecasting, Data Visualization, Data Visualization Software, Statistical Visualization, Data Preprocessing, Box Plots, Anomaly Detection, Heat Maps, Plotly, Exploratory Data Analysis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: Deep Learning, Supervised Learning, Artificial Neural Networks, Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, Performance Tuning, Python Programming, NumPy, Linear Algebra, Algorithms
Intermediate · Course · 1 - 4 Weeks

University of Minnesota
Skills you'll gain: Design Thinking, User Research, User Experience Design, Design Research, Usability Testing, User Centered Design, Graphic and Visual Design, Human Centered Design, Data Ethics, Ethical Standards And Conduct, Information Architecture
Beginner · Course · 1 - 3 Months

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

Skills you'll gain: Power BI, Data Ethics, Data Visualization Software, Data Analysis, Statistical Analysis, Correlation Analysis, Business Intelligence, Advanced Analytics, Data Analysis Expressions (DAX), Analytics, Data-Driven Decision-Making, Exploratory Data Analysis, Trend Analysis, Time Series Analysis and Forecasting, Scatter Plots, Forecasting, Geospatial Information and Technology, Root Cause Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Predictive Modeling, Regression Analysis, Machine Learning, Supervised Learning, Unsupervised Learning, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Process Mapping, Six Sigma Methodology, Lean Six Sigma, Quality Improvement, Organizational Change, Lean Methodologies, Statistical Hypothesis Testing, Organizational Leadership, Quality Management, Process Analysis, Correlation Analysis, Project Scoping, Data-Driven Decision-Making, Root Cause Analysis, Statistical Analysis, Process Improvement, Business Process, Continuous Improvement Process, Sampling (Statistics), Statistical Methods
Beginner · Specialization · 1 - 3 Months

The Chinese University of Hong Kong
Skills you'll gain: Operations Research, Applied Mathematics, Algorithms, Mathematical Modeling, Combinatorics, Computational Logic, Advanced Mathematics, Performance Tuning, Theoretical Computer Science, Simulations, Linear Algebra
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Model Evaluation, Pandas (Python Package)
Intermediate · Guided Project · Less Than 2 Hours