Python for machine learning courses can help you learn data manipulation, algorithm implementation, model evaluation, and feature selection. You can build skills in data visualization, hyperparameter tuning, and understanding neural networks. Many courses introduce tools like TensorFlow, Scikit-learn, and Pandas, that support applying your skills in real-world projects, enabling you to create predictive models and analyze complex datasets effectively.

Skills you'll gain: MITRE ATT&CK Framework, Cybersecurity, Cyber Threat Intelligence, Cyber Operations, IT Automation, Scripting, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Python Programming, Command-Line Interface, Programming Principles, Computer Programming, Scripting, Scripting Languages, Development Environment
Beginner · Guided Project · Less Than 2 Hours

Sungkyunkwan University
Skills you'll gain: Machine Learning Algorithms, Machine Learning, Python Programming, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Regression Analysis, Data Analysis, Statistical Methods, Linear Algebra, Probability
Mixed · Course · 1 - 4 Weeks

EDHEC Business School
Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Applied Machine Learning, Asset Management, Network Analysis, Data Visualization Software, Financial Data, Market Data, Unstructured Data, Web Scraping, Machine Learning, Social Network Analysis, Advanced Analytics, Financial Market, Financial Analysis, Financial Modeling, Return On Investment, Risk Analysis, Risk Management
Beginner · Specialization · 3 - 6 Months

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Software Installation, Programming Principles, Data Validation, Scripting Languages, Python Programming, Program Development, Scripting, Computational Thinking, Development Environment, Data Processing, Computer Programming, Algorithms, Debugging
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Cryptography, Object Oriented Programming (OOP), Encryption, Application Development, Data Structures, Software Development, Automation, Machine Learning Algorithms, Data Processing, Public Key Cryptography Standards (PKCS), Databases, Python Programming, Natural Language Processing, Algorithms, Key Management, SQL, Machine Learning Methods, Software Installation, Programming Principles, Data Validation
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Generative AI, PySpark, Supervised Learning, Keras (Neural Network Library), Feature Engineering, Deep Learning, Reinforcement Learning, LLM Application, Applied Machine Learning, Natural Language Processing, Tensorflow, Machine Learning, Python Programming, Data Science
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

University of Michigan
Skills you'll gain: Sampling (Statistics), Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Data Visualization, Descriptive Statistics, Bayesian Statistics, Data Visualization Software, Jupyter, Histogram, Statistical Software, Probability & Statistics, Matplotlib, Statistical Analysis, Statistics, Data Analysis, Box Plots, Statistical Programming, Python Programming
Beginner · Specialization · 1 - 3 Months

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Application Deployment, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
Advanced · Specialization · 3 - 6 Months