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.

The University of Edinburgh
Skills you'll gain: Music Theory, Music, Classical Music, Musical Composition
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Programming Principles, Data Manipulation, Data Structures, Performance Tuning, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Interviewing Skills, Applicant Tracking Systems, AI Enablement, Professional Development, Google Gemini, Generative AI, Personal Attributes, Problem Solving, Communication
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Hugging Face, Natural Language Processing, Artificial Neural Networks, Embeddings, Deep Learning, Transfer Learning, Supervised Learning
Intermediate · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, General Mathematics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Workflows, Context Management, Decision Making
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods
Intermediate · Specialization · 1 - 3 Months

University of Washington
Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Supervised Learning, Bayesian Statistics, Logistic Regression, Statistical Modeling, Artificial Intelligence, Data Preprocessing, Deep Learning, Data Mining, Decision Tree Learning, Computer Vision, Statistical Machine Learning
Intermediate · Specialization · 3 - 6 Months
Arizona State University
Skills you'll gain: Digital pedagogy, Oral Expression, Train The Trainer, Vocabulary, Design Elements And Principles, Design Strategies, English Language, Language Learning, Verbal Communication Skills, Public Speaking, Grammar
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Malware Protection, Identity and Access Management, Incident Response, Cybersecurity, Network Security, Threat Detection, Cyber Attacks, Authentications, Security Awareness, Digital Forensics, Security Controls, Infrastructure Security, Multi-Factor Authentication, Human Factors (Security)
Beginner · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Creative Thinking, Brainstorming, Ideation, Creativity, Cognitive flexibility, Problem Solving, Collaboration
Beginner · Course · 1 - 3 Months