Python-Kurse können Ihnen helfen zu lernen, wie Programme erstellt, Daten verarbeitet und Automatisierungen umgesetzt werden. Sie können Fähigkeiten in Syntax, Funktionen, Datenstrukturen und Bibliotheken aufbauen. Viele Kurse nutzen Beispiele, úbungen und Projekte, um Python anwendbar zu machen.

Microsoft
Kompetenzen, die Sie erwerben: Data Literacy, Data Storytelling, Data-Driven Decision-Making, Cloud Solutions, Cloud Security, Statistical Modeling, Business Analytics, Infrastructure as Code (IaC), Team Oriented, Advanced Analytics, Virtual Machines, Data Mining, Hybrid Cloud Computing, System Monitoring, Enterprise Security, Data Processing, Data Manipulation, Statistical Software, Data Import/Export, Computer Programming
★ 4.5 (110) · Anfänger · Spezialisierung · 1–3 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Rust (Programming Language), Code Reusability, Command-Line Interface, Memory Management, API Design, Data Pipelines, Secure Coding, Development Environment, Build Tools, Package and Software Management, Debugging, Software Installation
Anfänger · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Simulations, Risk Modeling, Risk Analysis, Simulation and Simulation Software, Risk Management, Financial Forecasting, Return On Investment, Data Analysis, Financial Modeling, Analysis, Microsoft Excel, Data-Driven Decision-Making, Probability Distribution, Business Modeling
Mittel · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, LLM Application, Natural Language Processing, Text Mining, Data-Driven Decision-Making, Usability Testing, Embeddings, Usability, Unstructured Data, Model Evaluation, Data Analysis
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Pandas (Python-Paket), Datenmanipulation, SQL, Datenvisualisierung, NumPy, Datengestützte Entscheidungsfindung, Datenbanken, Datenverarbeitung, Web-Scraping, Datenwrangling, Datenanalyse, Präsentation der Daten, Datenbank-Management, Python-Programmierung, Abfragesprachen, Datenbank Management
★ 4.2 (9) · Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: 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
Mittel · Spezialisierung · 3–6 Monate

Coursera
Kompetenzen, die Sie erwerben: Model Context Protocol, Load Balancing, Containerization, Docker (Software), Model Deployment, Restful API, API Design, Application Programming Interface (API), Authentications, Application Deployment, Tool Calling, Scalability, Performance Tuning, Data Validation
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment
Mittel · Kurs · 1–3 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Amazon Bedrock, Token Optimization, Generative AI, AWS SageMaker, Retrieval-Augmented Generation, LLM Application, Large Language Modeling, AI literacy, Amazon Web Services, Amazon Elastic Compute Cloud, No-Code Development, AI Integrations, Model Deployment, Model Optimization, Technology Solutions, Rust (Programming Language), Package and Software Management
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: AI Workflows, CrewAI, Prompt Engineering, AI Orchestration, Context Engineering, Agentic Workflows, Model Context Protocol, Generative AI Agents, LLM Application, Tool Calling, Agentic systems, Role-Based Access Control (RBAC), AI Security, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, Artificial Intelligence, Prompt Patterns
Mittel · Spezialisierung · 1–3 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Responsible AI, Model Evaluation, AI Integrations, Model Deployment, GitHub, Application Programming Interface (API), AI Enablement, Generative AI, Development Environment, API Design, LLM Application, Cloud Development, Microsoft Azure, Prompt Engineering, Capacity Management, Scalability, Authentications, Data Validation
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Financial Modeling, Financial Statements, Financial Forecasting, Financial Statement Analysis, Risk Modeling, Risk Management Framework, Capital Budgeting, Risk Management, Financial Auditing, Data Cleansing, Financial Data, Portfolio Risk, Financial Analysis, Risk Analysis, Budgeting, Credit Risk, Predictive Modeling, Power BI, Microsoft Excel, Data Visualization
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate