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: Site Reliability Engineering, Continuous Delivery, Azure DevOps Pipelines, DevOps, Grafana, Application Performance Management, CI/CD, Continuous Deployment, Performance Testing, DevSecOps, Event Monitoring, Test Tools, Solution Architecture, Operational Excellence, Dashboard Creation, Dashboard, Test Case, Performance Metric, Root Cause Analysis, Problem Management
Fortgeschritten · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Preprocessing, Supervised Learning, Model Optimization, Feature Engineering, Pandas (Python Package), Data Wrangling, Data Processing, Exploratory Data Analysis, Data Quality, Model Training, Applied Machine Learning, Data Manipulation, Statistical Machine Learning, Data Transformation, Classification And Regression Tree (CART), Data Cleansing, Data Pipelines, Machine Learning, Data Modeling, Data Architecture
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Descriptive Statistics, Data Analysis, Tableau Software, Statistical Visualization, Statistical Reporting, Business Analytics, Descriptive Analytics, Exploratory Data Analysis, Data Visualization, Data Storytelling, Dashboard Creation, Plot (Graphics), Seaborn, Dashboard, Data Presentation, Matplotlib, Analysis, Statistical Analysis, Data-Driven Decision-Making, Performance Analysis
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Anomaly Detection, PyTorch (Machine Learning Library), Forecasting, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Predictive Modeling, Deep Learning, Autoencoders, Predictive Analytics, Unsupervised Learning, Applied Machine Learning, Model Training, Generative Model Architectures, Convolutional Neural Networks, Exploratory Data Analysis, Model Optimization, Artificial Neural Networks, Data Preprocessing, Model Evaluation, Data Architecture
Mittel · Kurs · 1–3 Monate

Edureka
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Feature Engineering, AWS SageMaker, DevOps, CI/CD, Kubernetes, Cloud-Native Computing, Model Training, Fraud detection, Continuous Deployment, Devops Tools, AI Workflows, Continuous Integration, Application Deployment, Site Reliability Engineering, Application Lifecycle Management, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scalability, Artificial Intelligence
Mittel · Spezialisierung · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Feature Engineering, Exploratory Data Analysis, Data Wrangling, Data Processing, Data Cleansing, Data Quality, Data Analysis, Data Transformation, Anomaly Detection, Data Manipulation, Data Integration, Model Training, Data Validation, Test Data, Data Import/Export, Statistical Methods, Statistical Analysis, Descriptive Statistics
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Patterns, 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, Reinforcement Learning, Transfer Learning, Data Pipelines
★ 4.6 (1103) · Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Open Web Application Security Project (OWASP), Exploit development, Penetration Testing, Cyber Operations, Bash (Scripting Language), Scripting, Exploitation techniques, Security Testing, Vulnerability Assessments, Cyber Threat Hunting, Threat Detection, Shell Script, Windows PowerShell, Cybersecurity, Scripting Languages, Intrusion Detection and Prevention, Linux Commands, Incident Response, Command-Line Interface, Network Security
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Dashboard Creation, Data Preprocessing, Dashboard, Descriptive Statistics, Exploratory Data Analysis, Pandas (Python Package), Data Presentation, SQL, Data Analysis, Data Wrangling, Data Processing, Tableau Software, Feature Engineering, Statistical Visualization, Data Cleansing, Analytical Skills, Data Visualization, Data Warehousing, Data Visualization Software, Data Analysis Software
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: C# (Programming Language), ASP.NET, Full-Stack Web Development, .NET Framework, Back-End Web Development, CI/CD, Microsoft Azure, Docker (Software), Web Development, Containerization, Application Deployment, PostgreSQL, Object Oriented Programming (OOP), Cloud Infrastructure, Database Management, Web Development Tools, Database Design, API Design, GitHub, Middleware
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Fine-tuning, Generative Model Architectures, Deep Learning, Autoencoders, Generative AI, Model Optimization, Artificial Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Network Architecture, Model Evaluation, Anomaly Detection, Computer Vision, Predictive Modeling
Fortgeschritten · Kurs · 1–4 Wochen

Duke University
Kompetenzen, die Sie erwerben: Web Scraping, Extensible Markup Language (XML), Web Development Tools, Scripting, Hypertext Markup Language (HTML), Web Applications, Python Programming
★ 3.1 (19) · Mittel · angeleitetes Projekt · Weniger als 2 Stunden