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: Test Driven Development (TDD), Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Machine Learning, Python Programming, Development Environment, Jupyter, NumPy, Software Installation
Intermediate · Course · 1 - 3 Months

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

University of Michigan
Skills you'll gain: Sampling (Statistics), Statistical Inference, Data Visualization, Descriptive Statistics, Data Visualization Software, Jupyter, Histogram, Statistical Methods, Matplotlib, Statistics, Data Analysis, Box Plots, Probability & Statistics, Exploratory Data Analysis, Data Manipulation, Data Management, Python Programming
Beginner · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Exploratory Data Analysis, Apache Spark, Big Data, Regression Analysis, Data Mining, Applied Machine Learning, Statistical Analysis, Machine Learning, Data Analysis, Unsupervised Learning, Data Transformation, Predictive Modeling, Data Cleansing, Supervised Learning, Decision Tree Learning
Mixed · Course · 1 - 3 Months

Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Data Ethics, Data Pipelines, Responsible AI, Machine Learning, Information Privacy, Continuous Monitoring, Data Security, Performance Tuning, Scalability
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, Computer Vision, Natural Language Processing, Network Architecture, Medical Imaging
Advanced · Course · 1 - 3 Months

Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Interactive Data Visualization, Data Visualization Software, Data Presentation, Machine Learning, Scikit Learn (Machine Learning Library), Web Applications, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Cleansing, Data Processing, Pandas (Python Package), Applied Machine Learning, Data Import/Export, Classification And Regression Tree (CART), Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Machine Learning, Supervised Learning, Machine Learning Algorithms
Intermediate · Guided Project · Less Than 2 Hours

Universidad Austral
Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Deep Learning, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Text Mining, Unsupervised Learning, Algorithms, Supervised Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Intelligence, Python Programming, Machine Learning Methods
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Data Mining, Data Processing, Unsupervised Learning, Data Science, Anomaly Detection, Data Manipulation, Machine Learning Methods, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Application Deployment
Beginner · Guided Project · Less Than 2 Hours