Python machine learning courses can help you learn data preprocessing, model selection, and evaluation techniques. You can build skills in implementing algorithms like regression, classification, and clustering, as well as working with neural networks. Many courses introduce tools such as TensorFlow, Scikit-learn, and Pandas, showing how these technologies support the development of AI applications and enhance your ability to analyze and interpret complex datasets.

Skills you'll gain: Email Automation, Automation, Application Programming Interface (API), Scripting, Python Programming, Web Scraping, Data Import/Export, Data Manipulation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Histogram, Plot (Graphics), Data Visualization, Seaborn, Scatter Plots, Data Visualization Software, Statistical Visualization, Graphing, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Performance Tuning, Artificial Intelligence, Maintainability, Python Programming, Performance Analysis, Software Architecture, Technical Writing, Program Standards
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Hugging Face, Generative AI, OpenAI API, Natural Language Processing, Large Language Modeling, OpenAI, LLM Application, Transfer Learning, Embeddings, Python Programming, Model Evaluation
Intermediate · Course · 3 - 6 Months

University of Michigan
Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Data Preprocessing, Data-oriented programming, Program Development, Numerical Analysis, Critical Thinking
Intermediate · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Logistic Regression, Python Programming, Data Visualization Software
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Course Development, Instructional Design, Learning Theory, Brainstorming, Design, Needs Assessment, Motivational Skills, Prototyping, Creative Thinking, Student-Centred Learning, Analysis, Communication
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Data Preprocessing, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Feature Engineering, Predictive Modeling, Data Cleansing, Machine Learning, Real Estate, Regression Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Programming Principles, Development Environment, Scripting, Scripting Languages, Integrated Development Environments, Software Development Tools, Style Guides
Beginner · Course · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, NumPy, Statistical Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours
University of Michigan
Skills you'll gain: Relational Databases, Data Visualization Software, Databases, MySQL, Database Design, Database Systems, SQL, Database Management Systems, Database Management, Query Languages, Object Oriented Programming (OOP), Data Storage, Data Processing, Web Scraping, Python Programming, Data Collection, Display Devices
Mixed · Course · 1 - 3 Months

Skills you'll gain: Education Software and Technology, Digital pedagogy, Content Management
Beginner · Guided Project · Less Than 2 Hours