Data-Engineering-Kurse können Ihnen helfen zu lernen, wie Datenpipelines aufgebaut, Systeme integriert und Daten effizient verarbeitet werden. Sie können Fähigkeiten in ETL-Prozessen, Datenmodellierung, Orchestrierung und Umgang mit großen Datenmengen aufbauen. Viele Kurse stellen Tools und Plattformen für moderne Dateninfrastrukturen vor.

Kompetenzen, die Sie erwerben: Data Mining, Statistische Visualisierung, Business-Analytik, Datenumwandlung, Erweiterte Analytik, Management der Lieferkette
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Customer Acquisition Management, Data-Driven Marketing, Marketing Analytics, Branding, Brand Management, Customer Engagement, Target Audience, Customer Insights, Marketing Channel, Customer Analysis, Marketing Effectiveness, Brand Loyalty, Brand Strategy, Customer Relationship Building, Marketing Strategies, Campaign Management, Performance Measurement
★ 4.7 (18) · Anfänger · Kurs · 1–4 Wochen

Johns Hopkins University
Kompetenzen, die Sie erwerben: Cooperation, Interactive Learning, Education Software and Technology, Student Engagement, Pedagogy, Education and Training, Instructional Strategies, Learning Theory, Student-Centred Learning, Collaboration, Teamwork, Mathematics Education, Digital pedagogy, Professional Development, Problem Solving, Project Design, Critical Thinking, Analysis
★ 4.8 (13) · Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Classification And Regression Tree (CART), Model Evaluation, Predictive Analytics, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Data-Driven Decision-Making, Marketing Analytics, Data-Driven Marketing, Classification Algorithms, Model Optimization, Model Training, Marketing, Fine-tuning
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Apache Airflow, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Google Cloud Platform, Model Deployment, Continuous Deployment, Tensorflow, Metadata Management, Model Training, Model Optimization
Fortgeschritten · Kurs · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Gemini, Google Gemini, Retrieval-Augmented Generation, Embeddings, Generative AI, Predictive Modeling, Vector Databases, Big Data, Google Cloud Platform, Data Analysis, Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, SQL, LLM Application, Query Languages, Data Wrangling, AI Integrations, Python Programming, Machine Learning
★ 4.6 (11) · Anfänger · Spezialisierung · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Data Governance, Model Training, Data Management, Information Management, Google Cloud Platform, Metadata Management, Workflow Management, Model Deployment, AI Workflows, Model Optimization, Machine Learning Software, Machine Learning Methods, Predictive Modeling, Data Pipelines, Applied Machine Learning, Model Evaluation, Machine Learning
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Cloud Engineering, Cloud Deployment, Cloud Solutions, Cloud Computing Architecture, Cloud Services, Database Management Systems, Public Cloud, Cloud Security, Data Import/Export, Load Balancing, Virtual Networking, Cloud Platforms, Data Mapping, User Provisioning, Security Management, Data Storage Technologies, Security Controls, Enterprise Architecture, Multi-Factor Authentication, Event Monitoring
★ 3.8 (9) · Mittel · Spezialisierung · 3–6 Monate

Northeastern University
Kompetenzen, die Sie erwerben: Quality Management, Lean Methodologies, Lean Manufacturing, Process Improvement, Operations Management, Operations, Healthcare Project Management, Process Improvement and Optimization, Quality Management Systems, Process Management, Quality Improvement, Performance Improvement, Supply Chain Systems, Supply Chain Management, Supply Chain, Business Process Improvement, Business Process, Process Analysis, Quality Assessment, Project Management
★ 4.6 (16) · Anfänger · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Data Pipelines, Dataflow, Data Warehousing, Extract, Transform, Load, Data Quality, Data Cleansing, Data Validation, Performance Tuning, Google Cloud Platform, Data Processing, Apache Spark, Serverless Computing, System Monitoring
★ 4.4 (30) · Mittel · Kurs · 1–4 Wochen

H2O.ai
Kompetenzen, die Sie erwerben: LLM Application, Application Development, User Interface (UI), Development Environment, AI Integrations, Interactive Design, Cloud Deployment, Generative AI, Application Deployment, AI literacy, Cloud Development, Web Applications, Application Frameworks
Mittel · Kurs · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Abfragesprachen, Google Cloud-Plattform, Zwillinge, Anwendungsentwicklung, Lebenszyklus der Systementwicklung, Entwicklungstests, Testfall, Lebenszyklus der Softwareentwicklung, Google Gemini, AI-Integrationen, Fehlersuche
★ 4.9 (15) · Anfänger · Kurs · 1–4 Wochen