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.

Kompetenzen, die Sie erwerben: File I/O, Git (Version Control System), Software Development Methodologies, JUnit, Systems Development Life Cycle, Requirements Analysis, Version Control, Application Development, Software Development Life Cycle, Full-Stack Web Development, Test Driven Development (TDD), SQL, Software Development, Restful API, Database Management, Object Oriented Programming (OOP), Digital Transformation, GitHub Copilot, Java Programming, Generative AI
★ 4.3 (571) · Anfänger · Berufsbezogenes Zertifikat · 3–6 Monate

Kompetenzen, die Sie erwerben: Teradata SQL, Data Import/Export, Data Migration, Query Languages, SQL, Identity and Access Management, Google Cloud Platform, Data Warehousing, Role-Based Access Control (RBAC), Data Modeling, Database Design, Data Sharing, Data Architecture, Data Integration, Database Systems, Database Architecture and Administration
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: NoSQL, Operational Databases, Data Migration, Database Administration, Database Architecture and Administration, Relational Databases, PostgreSQL, Database Management, Database Design, SQL, Google Cloud Platform, Data Store, Distributed Computing, MySQL, Database Management Systems, System Configuration, Data Access, Disaster Recovery, System Monitoring, Cloud Deployment
Mittel · Spezialisierung · 1–3 Monate

University of California, Santa Cruz
Kompetenzen, die Sie erwerben: R Programmierung, Statistik, Regressionsanalyse, Datenanalyse, Wahrscheinlichkeitsverteilung, Statistische Inferenz, Analytische Fähigkeiten, Statistische Modellierung, Datenmodellierung, Statistische Methoden, Wahrscheinlichkeitsrechnung und Statistik, Datenvisualisierung, Statistische Programmierung, Bayessche Statistik, Statistische Analyse, Statistische Visualisierung, R (Software), Statistische Software, Wahrscheinlichkeit, Prädiktive Modellierung
★ 4.6 (3228) · Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Teradata SQL, Identity and Access Management, Data Import/Export, Role-Based Access Control (RBAC), Data Integration, Google Cloud Platform, Extract, Transform, Load, Data Warehousing, SQL, Data Architecture, Database Architecture and Administration, Database Design, Data Modeling, Real Time Data
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: System Monitoring, Data Quality, Performance Tuning, Apache Spark, Data Validation, Data Pipelines, Query Languages, Debugging, Data Transformation, Anomaly Detection, PySpark, Performance Analysis, Extract, Transform, Load, Failure Analysis, SQL, Data Architecture, Data Processing, Benchmarking, Root Cause Analysis, Distributed Computing
Fortgeschritten · Spezialisierung · 3–6 Monate

Coursera
Kompetenzen, die Sie erwerben: Embeddings, Scikit Learn (Machine Learning Library), Transfer Learning, NumPy, Data Pipelines, Unstructured Data, Applied Machine Learning, Python Programming, Natural Language Processing, Dimensionality Reduction, AI Workflows, Machine Learning Methods, Scripting, Model Evaluation, Scientific Visualization, Machine Learning
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Microservices, Cloud Applications, Cloud-Based Integration, Cloud-Native Computing, Software Architecture, Google Cloud Platform, Event-Driven Programming, Cloud Development, Service Oriented Architecture, Cloud Services, Software Design Patterns
Anfänger · Kurs · 1–3 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Debugging, Test Driven Development (TDD), Unit Testing, AI Integrations, Test Script Development, Software Testing, Test Automation, Context Engineering, Responsible AI, Risking, Software Architecture, Verification And Validation, AI literacy, AI Workflows, Software Documentation, Engineering Documentation, Python Programming, Large Language Modeling, Cloud Computing Architecture
Anfänger · Kurs · 1–4 Wochen

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Databricks, Data Lakes, Data Engineering, Data Wrangling, Apache Spark, Data Access, Data Processing, Data Warehousing, Data Architecture, Data Management, Data Synthesis, Data Science, Data Mining, Data Integrity, Data Modeling, Data Presentation, Data Entry, Data Storage, SQL, Python Programming
Anfänger · Kurs · 1–4 Wochen

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Rust (Programming Language), Code Reusability, Command-Line Interface, Memory Management, API Design, Data Pipelines, Secure Coding, Development Environment, Build Tools, Package and Software Management, Debugging, Software Installation
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Strategy, Infrastructure Architecture, Financial Data, Business Modeling, Data-Driven Decision-Making, Database Architecture and Administration, Return On Investment, SQL, Data Transformation, Business Planning, Data Pipelines, Strategic Prioritization, Database Design, Financial Analysis, Business Continuity, Cost Benefit Analysis, Performance Metric
Fortgeschritten · Kurs · 1–4 Wochen