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.

Eindhoven University of Technology
Skills you'll gain: Science and Research, Research Design, Research, Quantitative Research, Experimentation, Sample Size Determination, Data Sharing, Statistical Inference, Statistical Methods, Statistical Analysis, Data Synthesis, R Programming
Intermediate · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: Make.com, Email Automation, DeepSeek API, Deepseek, Workflow Management, AI Workflows, No-Code Development, Operational Efficiency, Agentic Workflows, AI Enablement, Large Language Modeling, Retrieval-Augmented Generation, Automation, Generative AI, Application Programming Interface (API), Embeddings, Model Deployment, Natural Language Processing, Prompt Engineering, Debugging
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Regression Analysis, Exploratory Data Analysis, Model Evaluation, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Deep Learning, Statistical Analysis, Data Analysis, Artificial Neural Networks, Data Import/Export, Matplotlib, Python Programming
Beginner · Guided Project · Less Than 2 Hours

University of California, Davis
Skills you'll gain: ArcGIS, Data Storytelling, Spatial Data Analysis, Data Presentation, Geographic Information Systems, Spatial Analysis, Geospatial Mapping, Heat Maps, Data Visualization Software, Network Analysis, Data Manipulation
Intermediate · Course · 1 - 4 Weeks

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: 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
University of Washington
Skills you'll gain: Unsupervised Learning, Supervised Learning, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Analysis, R Programming, Statistical Methods, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Classification Algorithms, Probability & Statistics, Big Data
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Key Performance Indicators (KPIs), Power BI, Dashboard, Data Visualization, Interactive Data Visualization, Data Storytelling, Data Presentation, Business Metrics, Performance Analysis, Data Visualization Software, Data Import/Export, Business Intelligence, Regional Sales, Sales Presentation
Beginner · Guided Project · Less Than 2 Hours

Pontificia Universidad Católica del Perú
Skills you'll gain: Data Preprocessing, Business Analytics, Dimensionality Reduction, Analytics, Data Cleansing, Data Transformation, Anomaly Detection, Data Manipulation, Project Management Life Cycle, Databases, R Programming, Data Analysis, Data Quality, Data Science, Big Data, Exploratory Data Analysis, Supervised Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: User Story, Cloud Computing Architecture, Agile Software Development, Cloud Services, Scrum (Software Development), Cloud Deployment, Agile Methodology, Kanban Principles, DevOps, Backlogs, Cloud Security, Cloud Infrastructure, Sprint Retrospectives, Cloud Platforms, Agile Project Management, Cloud Computing, Cloud-Native Computing, Cloud Storage, CI/CD, Test Driven Development (TDD)
Beginner · Specialization · 3 - 6 Months

Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization
Mixed · Course · 1 - 4 Weeks

Universidad Nacional Autónoma de México
Skills you'll gain: Relational Databases, Database Management, SQL, Databases, Database Design, Database Management Systems, Database Architecture and Administration, Information Systems, MySQL, Query Languages, Data Modeling, Transaction Processing, Information Systems Security, Performance Tuning, Conceptual Design
Intermediate · Course · 1 - 3 Months