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.

Skills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Statistical Machine Learning, Probability & Statistics, Linear Algebra, Statistical Methods, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Data Science, Statistics, Machine Learning Methods, Applied Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Machine Learning Methods, Statistical Methods, R (Software), Applied Machine Learning, Statistical Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Programming, Correlation Analysis, Data Manipulation, Supervised Learning
★ 4.6 (16) · Mixed · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Text Mining, Data Preprocessing, Natural Language Processing, Data Mining, Data Processing, Classification Algorithms, Unstructured Data, Feature Engineering, Data Manipulation, Data Cleansing, Python Programming, Applied Machine Learning, Unsupervised Learning, Model Training, Supervised Learning
★ 4.2 (3.8K) · Intermediate · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Bioinformatics, Programming Principles, Molecular, Cellular, and Microbiology, Python Programming, Computational Thinking, Biology, Program Development
★ 4.2 (1.6K) · Beginner · Course · 1 - 4 Weeks

LearnQuest
Skills you'll gain: Data Preprocessing, Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Machine Learning Methods, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming
★ 3.9 (15) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), NumPy, Data Wrangling, Data Transformation, Data Manipulation, Data Processing, Pivot Tables And Charts, Data Analysis Software, Data Preprocessing, Data Cleansing, Data Analysis, Numerical Analysis, Statistical Analysis, Data Structures, Descriptive Statistics
★ 5 (10) · Mixed · 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, Model Evaluation, Machine Learning Algorithms, Software Development Life Cycle, Model Deployment
Beginner · Course · 1 - 4 Weeks

Universidad Austral
Skills you'll gain: Web Scraping, Data Integration, Data Processing, Data Preprocessing, Data Cleansing, Data Manipulation, Natural Language Processing, Jupyter, Pandas (Python Package), Hypertext Markup Language (HTML), JavaScript Frameworks, Data Collection
★ 4.3 (15) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Data-Driven Decision-Making, Model Training, Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Development Environment
★ 4 (20) · Beginner · Project · Less Than 2 Hours

Skills you'll gain: Data Integration, Data Import/Export, NumPy, Data Wrangling, Data Manipulation, Data Preprocessing, Pandas (Python Package), Data Pipelines, Data Transformation, Data Processing, Data Access, Data Structures, Numerical Analysis
Beginner · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Statistical Analysis, Data Analysis, Data Science, Statistical Programming, Statistical Methods, Statistical Machine Learning, Statistical Modeling, Applied Machine Learning, Model Evaluation, Regression Analysis, Statistics, Machine Learning Methods, Machine Learning Algorithms, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Logistic Regression
★ 4.6 (9) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Unstructured Data
Intermediate · Course · 1 - 4 Weeks