Python Data Science courses can help you learn data manipulation, statistical analysis, machine learning, and data visualization. You can build skills in programming with Python, working with libraries like Pandas and NumPy, and applying algorithms to solve real-world problems. Many courses introduce tools such as Jupyter Notebooks for interactive coding, Matplotlib for creating visualizations, and Scikit-learn for implementing machine learning models, all of which enhance your ability to analyze and interpret complex data sets.

Coursera
Skills you'll gain: Vector Databases, Embeddings, Semantic Web, Database Theory, Database Design, Databases, Database Management Systems, NoSQL, Decision Making, Relational Databases, Stakeholder Communications, Business Analysis, Stakeholder Management, Persuasive Communication, Communication, System Design and Implementation
Intermediate · Course · 1 - 4 Weeks
University of London
Skills you'll gain: Descriptive Statistics, Probability & Statistics, Exploratory Data Analysis, Statistical Methods, Statistical Hypothesis Testing, Data Visualization, Operations Research, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Statistical Analysis, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling, Decision Tree Learning, Regression Analysis
Beginner · Course · 1 - 3 Months

National Taiwan University
Skills you'll gain: Supervised Learning, Model Training, Machine Learning, Machine Learning Methods, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Classification Algorithms, Mathematical Modeling, Statistical Methods, Mathematical Theory & Analysis, Probability, Probability & Statistics, Algorithms
Beginner · Course · 1 - 3 Months

University of Washington
Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Model Training, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Feature Engineering, Machine Learning, Data Preprocessing, Model Optimization, Statistical Methods
Mixed · Course · 1 - 3 Months

Skills you'll gain: Google Gemini, AI literacy, Prompt Patterns, Prompt Engineering Tools, AI Enablement, Generative AI, Generative AI Agents, Artificial Intelligence, AI Personalization, AI Workflows, Ideation, Decision Support Systems, Responsible AI, Google Workspace
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Deep Learning, Model Optimization, Model Training, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computer Vision, Recurrent Neural Networks (RNNs), Model Evaluation, Artificial Neural Networks, Natural Language Processing
Intermediate · Course · 1 - 3 Months
University of Toronto
Skills you'll gain: Functional Design, Programming Principles, Debugging, File I/O, Software Documentation, Python Programming, Computer Programming, Program Development, Technical Documentation, Integrated Development Environments, Data Structures, Development Environment
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Optimization, Cloud Security, Stakeholder Communications, Stakeholder Management, Stakeholder Engagement, Risking, Data Ethics, Data Governance, Data Security, Enterprise Architecture, Dashboard Creation, Generative Model Architectures, Executive Presence, Security Architecture Review, Professional Development, Data Management, Financial Forecasting, Application Deployment, Continuous Deployment, Incident Management
Intermediate · Professional Certificate · 3 - 6 Months

The University of Edinburgh
Skills you'll gain: Simulations, Simulation and Simulation Software, Bioinformatics, Biotechnology, Mathematical Modeling, Life Sciences, Biology, Molecular, Cellular, and Microbiology, R Programming, Scripting, Quantitative Research
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Image Quality, Model Training, Fine-tuning, Classification Algorithms, Deep Learning, Network Architecture
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Optimization, Image Analysis, Transfer Learning, Fine-tuning, Multimodal Prompts, Model Evaluation, Technical Documentation, Data Preprocessing, Debugging, Computer Vision, PyTorch (Machine Learning Library), Feature Engineering, Tensorflow, Model Training, Embeddings, Systems Design, Ethical Standards And Conduct, Large Language Modeling, Root Cause Analysis, Deep Learning
Intermediate · Specialization · 3 - 6 Months

University of Washington
Skills you'll gain: Classification Algorithms, Applied Machine Learning, Model Training, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Machine Learning Methods, Text Mining, Machine Learning Algorithms, Scalability, Model Optimization, Risking, Machine Learning, Natural Language Processing, Algorithms
Mixed · Course · 1 - 3 Months