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: Cloud Management, Cloud Storage, File Management, Cloud Computing, Data Storage, Google Cloud Platform, Data Storage Technologies, Public Cloud, Python Programming
Anfänger · Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Data Storytelling, Data Presentation, Conversion Funnel Analysis, Dashboard, Data Pipelines, Strategic Prioritization, Customer Retention, Customer Analysis, Product Strategy, SQL, Data Analysis, Business Intelligence, Data Warehousing, Pandas (Python Package), Performance Metric, Statistical Analysis, Scikit Learn (Machine Learning Library), Decision Making, Resource Allocation, Python Programming
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Selenium (Software), Test Automation, Behavior-Driven Development, Gherkin (Scripting Language), Test Script Development, Unit Testing, Software Testing, Jenkins, CI/CD, Continuous Integration, Test Tools, Apache Maven, Automation, Test Case, DevOps, Java, Test Data, C# (Programming Language), Java Programming, Python Programming
Anfänger · Spezialisierung · 1–3 Monate

Institut Mines-Télécom
Kompetenzen, die Sie erwerben: Image Analysis, Digital Signal Processing, NumPy, Python Programming, Applied Mathematics
Mittel · Kurs · 1–4 Wochen

University of Washington
Kompetenzen, die Sie erwerben: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Machine Learning, AI Personalization, Machine Learning Algorithms, Deep Learning, Jupyter, Supervised Learning, Model Training, Predictive Modeling, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Text Mining, Python Programming, Data Mining, Artificial Neural Networks
Gemischt · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Cross Platform Development, Application Development, Program Development, Programming Principles, Computer Programming, Software Engineering, Python Programming, Software Installation, Computer Programming Tools, Web Development, Software Design, System Configuration
★ 4.7 (6) · Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Machine Learning Software, Model Evaluation, Model Training, Model Optimization, Machine Learning, Predictive Modeling, Python Programming
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Model Evaluation, Applied Machine Learning, Model Optimization, Classification Algorithms, Amazon Web Services, Model Training, Machine Learning Methods, Machine Learning Software, Predictive Modeling, Machine Learning, Python Programming
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Model Evaluation, Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Quality, Model Training, Image Analysis, Analysis, Computer Vision, Tensorflow, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Analysis, Docker (Software), Python Programming
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: LangChain, LLM Application, Retrieval-Augmented Generation, LangGraph, AI Workflows, Large Language Modeling, AI Orchestration, Responsible AI, Generative AI, Token Optimization, Agentic systems, Prompt Engineering, Generative AI Agents, Natural Language Processing, Cloud Development, Application Programming Interface (API), Python Programming, Application Deployment, Data Processing, Pandas (Python Package)
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Matplotlib, A/B Testing, Plot (Graphics), Box Plots, Sampling (Statistics), Statistical Hypothesis Testing, Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Descriptive Statistics, Statistical Methods, Data Science, NumPy, Machine Learning, Python Programming
Anfänger · Spezialisierung · 1–4 Wochen

Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, Vector Databases, Embeddings, Data-Driven Decision-Making, Applied Machine Learning, Image Analysis, LLM Application, Model Optimization, Data Flow Diagrams (DFDs), Database Theory, Docker (Software), Prompt Engineering, Database Design, NumPy, AI Integrations, Databases, Scikit Learn (Machine Learning Library), Semantic Web, Simulations, Python Programming
Mittel · Spezialisierung · 3–6 Monate