Scikit Learn courses can help you learn data preprocessing, model selection, and evaluation techniques, along with supervised and unsupervised learning methods. You can build skills in feature engineering, hyperparameter tuning, and implementing algorithms like decision trees and support vector machines. Many courses also introduce tools such as Jupyter Notebooks and Python libraries, that support applying machine learning concepts and visualizing data to derive actionable insights.

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Model Training, Risk Modeling, Predictive Modeling, Statistical Methods, Predictive Analytics, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning Methods, Machine Learning, Python Programming, Logistic Regression
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Data Access, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Classification Algorithms, Machine Learning, Supervised Learning
★ 4.2 (57) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Processing, Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Numerical Analysis, Exploratory Data Analysis, Data Cleansing, Data Structures
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Optimization, Regression Analysis, Model Training, Statistical Modeling, Predictive Modeling, Fine-tuning, Scientific Visualization, Model Evaluation, Data Preprocessing, Applied Machine Learning, Data Processing, Exploratory Data Analysis, Python Programming, Machine Learning, Development Environment
★ 4.5 (14) · Intermediate · Guided Project · Less Than 2 Hours

Chegg Skills
Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Engineering, Data Quality, Descriptive Statistics, Data Manipulation, Data Wrangling, Statistical Analysis, Data Transformation, Package and Software Management, Data Import/Export, Statistics, Data Preprocessing, Data Processing, Data Analysis, Data Validation, Exploratory Data Analysis, Data Pipelines, NumPy, Python Programming
Beginner · Course · 1 - 4 Weeks

Beginner · Specialization · 1 - 3 Months
Madecraft
Skills you'll gain: NumPy, Pandas (Python Package), Matplotlib, Plot (Graphics), Seaborn, Data Visualization, Jupyter, Data Science, Statistical Visualization, Data Visualization Software, Statistical Analysis, Data Wrangling, Data Manipulation, Data Analysis, Scatter Plots, Exploratory Data Analysis, Statistical Programming, Python Programming, Data Transformation, Data Processing
Intermediate · Course · 1 - 3 Months

Mixed · Course · 1 - 4 Weeks

Intermediate · Course · 1 - 3 Months

Intermediate · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Ansible, IT Automation, Red Hat Enterprise Linux, Infrastructure as Code (IaC), CI/CD, Application Deployment, Cloud Infrastructure, DevOps, Continuous Integration, YAML, Microsoft Azure, Continuous Deployment, Hardening, Cloud Deployment, Amazon Web Services, VMware ESX Servers, Systems Administration, Virtual Networking, System Configuration, Configuration Management
Beginner · Course · 3 - 6 Months

Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Model Evaluation, Data Cleansing, Data Preprocessing, Data Manipulation, Data Analysis, Data Processing, Model Training, Scatter Plots, Statistical Analysis, Predictive Modeling, Regression Analysis, Statistical Methods, Data Transformation, Feature Engineering, Data Import/Export, Scientific Visualization, Data Visualization, Python Programming
★ 4.7 (20K) · Intermediate · Course · 1 - 3 Months