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.

Kompetenzen, die Sie erwerben: Flask (Web Framework), Application Deployment, Application Development, Restful API, Web Applications, Web Development, User Accounts, Authentications, Authorization (Computing), File Management, Email Automation, Real Time Data, Data Validation
Fortgeschritten · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Visualization, Data Presentation, Data Storytelling, Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Exploratory Data Analysis, Analytical Skills, Business Analysis, Data Wrangling, Strategic Decision-Making, Case Studies, Data Manipulation, Data Cleansing, Python Programming, Data Import/Export, Promotional Strategies
★ 4.8 (10) · Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Northeastern University
Kompetenzen, die Sie erwerben: Data Storytelling, Generative AI, Text Mining, Data Warehousing, Unsupervised Learning, Database Design, Data Governance, Data Mining, Interactive Data Visualization, Data Presentation, Generative Model Architectures, Web Scraping, Classification Algorithms, PyTorch (Machine Learning Library), Operations Research, Natural Language Processing, NoSQL, Exploratory Data Analysis, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting
Abschluss · 1–4 Jahre
Universidad de los Andes
Kompetenzen, die Sie erwerben: Supervised Learning, LangChain, User Story, Unsupervised Learning, Cloud-Native Computing, Agile Software Development, Process Analysis, Continuous Deployment, Software Testing, Financial Statement Analysis, Organizational Strategy, Data Storytelling, Dashboard Creation, Classification Algorithms, Deep Learning, Game Design, Technology Strategies, Infrastructure As A Service (IaaS), Security Requirements Analysis, API Design
Abschluss · 1–4 Jahre

Kompetenzen, die Sie erwerben: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI Agents, Generative AI, Microsoft Azure, LLM Application, Artificial Intelligence, AI Orchestration, Agentic Workflows, OpenAI, OpenAI API, AI Workflows, Natural Language Processing, Microsoft Development Tools, Computer Vision, AI Integrations, Image Analysis, Agentic systems, Model Deployment
Mittel · Kurs · 1–3 Monate

Northeastern University
Kompetenzen, die Sie erwerben: Database Design, Software Quality Assurance, Object Oriented Design, Process Mapping, Enterprise Architecture, Open Web Application Security Project (OWASP), Data Governance, User Research, Stakeholder Engagement, Systems Development Life Cycle, Algorithms, Agile Software Development, Unified Modeling Language, Test Automation, Integration Testing, Cybersecurity, Responsive Web Design, User Experience Design, UI/UX Strategy, Cascading Style Sheets (CSS)
Abschluss · 1–4 Jahre

University of Washington
Kompetenzen, die Sie erwerben: R Programmierung, Methoden des maschinellen Lernens, Technische Merkmale, Datenwissenschaft, Überwachtes Lernen, Modellevaluation, Feature Technik, SQL, Unüberwachtes Lernen, Modell Ausbildung, Datenvisualisierung, Bewertung des Modells, Wissenschaftliche Visualisierung, Daten-Ethik, Datenbank-Systeme, Große Daten, Statistische Visualisierung, Datenanalyse, Datenfluss, Präsentation der Daten, Python-Programmierung, Relationale Datenbanken
★ 4.2 (923) · Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Validation, Data Quality
Anfänger · Kurs · 1–4 Wochen

Board Infinity
Kompetenzen, die Sie erwerben: Prompt Engineering, Prompt Patterns, LLM Application, Generative AI Agents, AI Workflows, AI Orchestration, Agentic Workflows, Large Language Modeling, Tool Calling, Agentic systems, Debugging, Quality Assurance, Model Evaluation
Mittel · Kurs · 1–4 Wochen

Board Infinity
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, AI Workflows, Agentic Workflows, Vector Databases, LangGraph, LangChain, AI Orchestration, LLM Application, Generative AI Agents, Embeddings, Application Performance Management, Large Language Modeling, Agentic systems, Semantic Web, Software Visualization, Performance Tuning, Context Management, Debugging, Memory Management
Mittel · Kurs · 1–4 Wochen

Johns Hopkins University
Kompetenzen, die Sie erwerben: Computational Thinking, Bioinformatik, Graphentheorie, Biowissenschaften, Daten-Strukturen, Molekularbiologie, Datenanalyse, Python-Programmierung, Algorithmen
★ 4.7 (932) · Gemischt · Kurs · 1–4 Wochen

Board Infinity
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, AI Workflows, LangChain, Model Context Protocol, Vector Databases, AI Orchestration, LLM Application, Tool Calling, Agentic Workflows, Generative AI Agents, Large Language Modeling, Agentic systems, Embeddings, Model Deployment, Artificial Intelligence, Context Management, Scalability, Debugging, System Monitoring, Data Persistence
Mittel · Kurs · 1–4 Wochen