Scikit-learn courses can help you learn data preprocessing, model selection, classification techniques, and regression analysis. You can build skills in evaluating model performance, feature engineering, and implementing machine learning pipelines. Many courses introduce tools like Jupyter Notebooks and Python libraries, that support applying these skills in practical projects.

University of Glasgow
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Data Literacy, Statistical Hypothesis Testing, Scientific Methods, Data Analysis, Experimentation, Research Design, Research, Peer Review, Probability & Statistics, Statistical Inference, Statistical Methods, Media and Communications
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Anomaly Detection, Jupyter, Exploratory Data Analysis, Application Deployment, Unsupervised Learning, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Presentation, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Yonsei University
Skills you'll gain: Text Mining, Natural Language Processing, Data Cleansing, Data Analysis, Java, Unsupervised Learning, Machine Learning Methods, Supervised Learning
Intermediate · Course · 1 - 3 Months

Fred Hutchinson Cancer Center
Skills you'll gain: Continuous Integration, Continuous Deployment, CI/CD, GitHub, Docker (Software), Software Development, Test Automation, Containerization, Automation, Debugging, YAML, Scripting
Intermediate · Course · 1 - 4 Weeks

Universidad Austral
Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Software Development Life Cycle, Machine Learning
Beginner · Course · 1 - 4 Weeks

Sungkyunkwan University
Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification And Regression Tree (CART), Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Linear Algebra, Bayesian Statistics, Probability
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Classification And Regression Tree (CART), Predictive Modeling, Data Analysis, Regression Analysis, Supervised Learning, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Data Cleansing, Bayesian Network, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Predictive Modeling, Data Science, Machine Learning, Google Cloud Platform, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Data Processing
Intermediate · Guided Project · Less Than 2 Hours

University of Alberta
Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Predictive Modeling, Probability Distribution
Intermediate · Course · 1 - 3 Months