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.

New York Institute of Finance
Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Markov Model, Portfolio Risk, Financial Market, Time Series Analysis and Forecasting, Risk Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Statistical Visualization, Jupyter, Dimensionality Reduction, Data Science, Machine Learning Methods, Python Programming, Data Preprocessing
Intermediate · Guided Project · Less Than 2 Hours

Dartmouth College
Skills you'll gain: Business Ethics, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Model Evaluation, Digital Transformation, Data-Driven Decision-Making, Feature Engineering, Regression Analysis, Supervised Learning, Python Programming, Cloud Computing, Data Quality, Classification Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Databricks, Model Deployment, Responsible AI, Microsoft Azure, Data Science, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Model Evaluation, Machine Learning, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Feature Engineering, AI Personalization, Applied Machine Learning, Data Science, Machine Learning, Scalability, Data Manipulation, Python Programming, Data Transformation, Pandas (Python Package), Predictive Analytics, Machine Learning Methods, Predictive Modeling, Text Mining, Development Environment, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, NumPy
Intermediate · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Transfer Learning, Data Preprocessing, Hugging Face, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Logistic Regression, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Machine Learning Algorithms, Python Programming, Supervised Learning, Classification Algorithms, Algorithms
Beginner · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, Bayesian Network, Machine Learning Methods, Data Science, Supervised Learning, Generative AI, Machine Learning, Anomaly Detection, Data Preprocessing, Data Analysis, Recurrent Neural Networks (RNNs), Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Classification Algorithms
Advanced · Specialization · 3 - 6 Months