Programmieren-Kurse können Ihnen helfen zu lernen, wie Code geschrieben, getestet und strukturiert wird. Sie können Fähigkeiten in Syntax, Algorithmen, Datenstrukturen und Projektaufbau aufbauen. Viele Kurse stellen Entwicklungsumgebungen, Versionskontrolle und Beispiele aus der Praxis vor.

Duke University
Kompetenzen, die Sie erwerben: R Programmierung, Statistik, Datenanalyse, Statistische Inferenz, Wahrscheinlichkeitsverteilung, Statistische Methoden, Stichproben (Statistik), Wahrscheinlichkeitsrechnung und Statistik, Installation der Software, Statistische Analyse, Statistische Programmierung, R (Software), Statistische Hypothesenprüfung, Statistische Software, Statistische Berichterstattung
★ 4.8 (2780) · Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Disaster Recovery, Star Schema, Business Continuity Planning, Cost Benefit Analysis, Database Design, Business Continuity, Data Infrastructure, Snowflake Schema, Database Architecture and Administration, Relational Databases, Data Warehousing, Data Modeling, Data Architecture, Data Validation, SQL, Terraform, Infrastructure as Code (IaC), Extract, Transform, Load, Business Analytics, Cost Management
Fortgeschritten · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Apache Airflow, Data Warehousing, Data Flow Diagrams (DFDs), Data Pipelines, Diagram Design, Data Integration, Data Lakes, Performance Tuning, Data Governance, Cloud Deployment, Data Management, Data Modeling, Data Mapping, Extract, Transform, Load, Trend Analysis, Service Level Agreement, Systems Integration, SQL, Apache Kafka, Python Programming
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Predictive Modeling, SAS (Software), Predictive Analytics, Data Literacy, Decision Intelligence, Data Storytelling, Responsible AI, Analytics, Data Analysis, Statistical Modeling, Business Analytics, Data-Driven Decision-Making, Team Oriented, Advanced Analytics, Data Mining, Exploratory Data Analysis, Data Management, Data Visualization Software, Process Design, Data Access
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Agentic Workflows, Generative AI Agents, AI Orchestration, AI Workflows, OpenAI API, OpenAI, Model Context Protocol, LLM Application, AI Integrations, Artificial Intelligence, Agentic systems, Workflow Management, Cloud-Based Integration, Python Programming, User Interface (UI), Application Deployment, Data Manipulation
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Management, Data Quality, Data Validation, Data Integrity, Data Pipelines, YAML, Quality Assurance, Test Automation, SQL
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Google Gemini, Gemini, Command-Line Interface, LLM Application, Tool Calling, Code Review, AI Workflows, Secure Coding, Computer Programming Tools, Model Context Protocol, Software Installation, Application Security, Software Architecture
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Middleware, React Redux, React.js, Code Reusability, Web Development Tools, Development Environment, Responsive Web Design, Frontend Performance, Scalability, Application Programming Interface (API), Web Design and Development, HTML and CSS, Front-End Web Development, Maintainability, UI Components, Cascading Style Sheets (CSS), Software Development Tools, JavaScript Frameworks, Authorization (Computing), Data Validation
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Warehousing, Data Flow Diagrams (DFDs), Data Modeling, Data Pipelines, Ansible, Cloud Security, Diagram Design, Data Validation, Database Design, Apache Airflow, Star Schema, Snowflake Schema, Interviewing Skills, Apache Spark, PySpark, CI/CD, Docker (Software), SQL, Workflow Management, Git (Version Control System)
Mittel · Berufsbezogenes Zertifikat · 3–6 Monate

Kompetenzen, die Sie erwerben: Amazon Redshift, Database Design, SQL, Data Architecture, Identity and Access Management, Google Cloud Platform, Relational Databases, Data Import/Export, Role-Based Access Control (RBAC), Database Architecture and Administration, Data Integration, Data Warehousing, Data Modeling, Data Security, Performance Tuning
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: TypeScript, Object Oriented Design, Object Oriented Programming (OOP)
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders, Model Deployment, Deep Learning, Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Artificial Neural Networks, Model Training, Convolutional Neural Networks, Performance Tuning, Artificial Intelligence, Scalability, Python Programming, Machine Learning, Memory Management, Image Quality, Performance Analysis
Anfänger · Kurs · 1–4 Wochen