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.

Skills you'll gain: Model Deployment, Generative AI, AI Workflows, Generative Model Architectures, Development Environment, Image Analysis, Model Evaluation, Performance Tuning, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing
Intermediate · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Data Visualization, Stakeholder Analysis, Tableau Software, Data Visualization Software, Requirements Analysis, Stakeholder Management, Data Cleansing, Storyboarding, Data Manipulation, Data Quality, Data Preprocessing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Planning, Data Presentation, Trend Analysis, Data Analysis Software, Google Sheets, Artificial Intelligence, Business Correspondence, Coordinating, Oral Expression, Collaborative Software, Research, Project Management, LLM Application, Google Workspace, Operational Analysis, Editing, Organizational Skills, Communication, Cross-Functional Collaboration, Prototyping
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Ethics, Responsible AI, AI Security, Business Ethics, Artificial Intelligence, Information Privacy, Ethical Standards And Conduct, Regulatory Requirements, Emerging Technologies, Strategic Leadership, Accountability, Diversity and Inclusion, Stakeholder Engagement
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Supervised Learning, Clinical Informatics, Machine Learning, Health Informatics, Data Preprocessing, Clinical Data Management, Predictive Analytics, Patient Safety, Decision Tree Learning, Time Series Analysis and Forecasting, Logistic Regression, Forecasting, Classification Algorithms, Dimensionality Reduction
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, CI/CD, Continuous Deployment, Application Deployment, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Process Optimization, Verification And Validation, Automation, Key Performance Indicators (KPIs), Performance Analysis, Data-Driven Decision-Making
Advanced · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Data Preprocessing, Artificial Neural Networks, Forecasting, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, Responsible AI, Artificial Intelligence, Machine Learning, Prompt Engineering, Amazon Web Services, Model Deployment, Supervised Learning, Computer Vision, Image Analysis, Model Evaluation, Unsupervised Learning, Data Preprocessing, Natural Language Processing, Deep Learning, Reinforcement Learning
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, Natural Language Processing, Debugging, Containerization, Kubernetes, Transfer Learning, Docker (Software), MLOps (Machine Learning Operations), Distributed Computing, Applied Machine Learning, PyTorch (Machine Learning Library), Vision Transformer (ViT), Tensorflow, Cloud Computing, Deep Learning, Performance Tuning, Model Evaluation, Artificial Neural Networks, Data Pipelines, Computer Vision
Advanced · Specialization · 1 - 3 Months

Skills you'll gain: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming
Advanced · Course · 1 - 4 Weeks