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.

Mehrere Erzieher
Kompetenzen, die Sie erwerben: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Incident Response, Continuous Monitoring, Cybersecurity, Cyber Security Assessment, Cyber Attacks, Event Monitoring, Data Security, Vulnerability, System Monitoring, Analysis, Network Security, Network Monitoring, Criminal Investigation and Forensics, Linux Commands, System Configuration, Bash (Scripting Language), Python Programming, Scripting, Linux, Scripting Languages
Gemischt · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Datenwrangling, Datenanalyse, Statistische Analyse, IBM Cognos-Analytik, Pandas (Python-Paket), Daten Präsentation, Erhebung von Daten, Matplotlib, Daten bereinigen, Daten-Storytelling, Web Scraping, Interaktive Datenvisualisierung, Streudiagramme, Datenvisualisierung, Datenmanipulation, Dashboard, Explorative Datenanalyse
Fortgeschritten · Kurs · 1–3 Monate

Microsoft
Kompetenzen, die Sie erwerben: Generative AI, Responsible AI, Generative Model Architectures, Prompt Engineering, Generative Adversarial Networks (GANs), MLOps (Machine Learning Operations), AI Security, Multimodal Prompts, Data Ethics, AI Workflows, Microsoft Azure, ChatGPT, AI Orchestration, Model Deployment, AI Enablement, Version Control, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Application Lifecycle Management, Python Programming
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

Coursera
Kompetenzen, die Sie erwerben: Apache Airflow, MLOps (Machine Learning Operations), User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Data Pipelines, PyTorch (Machine Learning Library), Miro AI, Data Presentation, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control
Mittel · Spezialisierung · 3–6 Monate

Coursera
Kompetenzen, die Sie erwerben: Unit Testing, Test Driven Development (TDD), Software Testing, Scalability, Dashboard, MLOps (Machine Learning Operations), Testability, Kubernetes, Version Control, Model Deployment, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Tensorflow, CI/CD, Containerization, Docker (Software), Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Bash (Scripting Language), Shell Script, Linux, Scripting, Linux Commands, Linux Administration, Unix Shell, Operating System Administration, Data Persistence, Unix Commands, Systems Administration, Command-Line Interface, IT Automation, Unix, Cloud Hosting, Object-Relational Mapping, YAML, Python Programming, File Transfer Protocol (FTP), Automation
Anfänger · Spezialisierung · 3–6 Monate

Coursera
Kompetenzen, die Sie erwerben: Deep Learning, Transfer Learning, Systems Design, Model Evaluation, Feature Engineering, Predictive Modeling, MLOps (Machine Learning Operations), Applied Machine Learning, Supervised Learning, Data Preprocessing, Data Pipelines, Python Programming, Scikit Learn (Machine Learning Library), Software Engineering, Debugging, Data Quality, Data Validation, Performance Metric, Git (Version Control System), Statistical Analysis
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Program Development, Python Programming, Jupyter, Algorithms, Engineering Calculations, Computer Programming, Mathematical Modeling, Linear Algebra, Applied Mathematics
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Coursera
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Image Analysis, Multimodal Prompts, Debugging, Computer Vision, Algorithms, Model Evaluation, Applied Machine Learning, Performance Tuning, Failure Mode And Effects Analysis, Verification And Validation, Root Cause Analysis, Performance Analysis, Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, Data Visualization, Python Programming, Experimentation
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Finanzielle Analyse, Python-Programmierung, Pandas (Python-Paket), Portfolio-Risiko, Datenanalyse, Aktien, Statistische Analyse, Investment Management, Finanzielle Daten, Explorative Datenanalyse, Marktdaten, Portfolio Management, Finanzen, Plotly, Datenvisualisierung, Datenmanipulation, Finanzplanung, Risikomodellierung
Anfänger · angeleitetes Projekt · Weniger als 2 Stunden

Coursera
Kompetenzen, die Sie erwerben: Network Architecture, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Transfer Learning, Systems Design, AWS SageMaker, Model Evaluation, API Design, Model Deployment, MLOps (Machine Learning Operations), Cloud Computing, CI/CD, Data Pipelines, Python Programming, Unit Testing, Performance Tuning, Software Engineering, Data Validation
Mittel · Spezialisierung · 1–3 Monate