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: Verification And Validation, Sampling (Statistics), Statistical Machine Learning, Test Data, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Token Optimization, Large Language Modeling, LLM Application, Generative Model Architectures, Applied Machine Learning, Performance Metric, Quality Assessment
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Governance, Data Governance, Law, Regulation, and Compliance, Cyber Governance, AI Security, Regulation and Legal Compliance, Data Ethics, Compliance Management, Legal Risk, Case Studies, General Data Protection Regulation (GDPR), Risk Management, Governance Risk Management and Compliance, Risk Management Framework, Regulatory Compliance, Regulatory Requirements, Information Systems Security, Generative AI, Accountability
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Databricks, Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Model Evaluation, Feature Engineering, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, AI Workflows, Machine Learning, System Monitoring, Security Controls
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), GitHub Copilot, Responsible AI, Model Deployment, Containerization, Web Frameworks, Rust (Programming Language), AI Workflows, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, Cloud-Native Computing, Machine Learning, Serverless Computing, Application Deployment, GitHub, Command-Line Interface, Big Data
★ 4.1 (220) · Advanced · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Model Evaluation, Patient Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Data Preprocessing, Classification And Regression Tree (CART), Risk Modeling, Statistical Methods, Treatment Planning, Data Analysis, Diagnostic Tests, Precision Medicine, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Image Analysis, Statistical Machine Learning, Machine Learning
★ 4.7 (2.5K) · Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Performance Metric, Predictive Modeling, Data-Driven Decision-Making, Failure Analysis, Statistical Analysis, Statistical Hypothesis Testing, Sampling (Statistics)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Model Optimization, Model Evaluation, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Feature Engineering, Workflow Management, Verification And Validation, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization
Intermediate · Course · 1 - 3 Months

SkillsBooster Academy
Skills you'll gain: Prompt Engineering, Microsoft Copilot, Prompt Engineering Tools, Responsible AI, Workflow Management, Project Management, Meeting Facilitation, Project Coordination, Project Risk Management, Automation, Budget Management, Microsoft Office, Artificial Intelligence, Microsoft Excel, Generative AI, Microsoft Word, Time Management, Financial Management, Data Analysis, Business Communication
★ 5 (8) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Engineering Tools, Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Tool Calling, Hugging Face, Model Optimization, Transfer Learning, Data Pipelines, Model Training
★ 4.5 (980) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Model Training, Forecasting, Financial Data, Financial Forecasting, Performance Metric, Financial Analysis, Credit Risk, AI Integrations, Applied Machine Learning, AI Workflows, Data Pipelines, Artificial Neural Networks, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Machine Learning Methods, Predictive Modeling, Model Training, Statistical Machine Learning, Machine Learning Software, Model Optimization, Performance Analysis, Performance Metric, Performance Improvement
Intermediate · Course · 1 - 4 Weeks