
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

Mehrere Erzieher
Kompetenzen, die Sie erwerben: Data Store, Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Storage Technologies, Data Architecture, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Data Preprocessing, Apache Hadoop, Requirements Elicitation, Vector Databases, Extract, Transform, Load, Data Lakes, Data Integration, Infrastructure as Code (IaC), Data Management
★ 4.7 (588) · Mittel · Berufsbezogenes Zertifikat · 3–6 Monate
Duke University
Kompetenzen, die Sie erwerben: Datenwissenschaft, Shell-Skript, Bash (Skriptsprache), Befehlszeilenschnittstelle, Linux, Python-Programmierung, SQL, JSON, Linux-Befehle, Linux-Verwaltung, Große Daten, Datenmanipulation, Pandas (Python-Paket), MySQL, Jupyter, Git (Versionskontrollsystem), Microservices, Web-Scraping, AWS SageMaker, Versionskontrolle
★ 4.5 (478) · Anfänger · Spezialisierung · 3–6 Monate

Northeastern University
Kompetenzen, die Sie erwerben: Data Storytelling, Generative AI, Text Mining, Data Warehousing, Unsupervised Learning, Database Design, Data Governance, Data Mining, Interactive Data Visualization, Data Presentation, Generative Model Architectures, Web Scraping, Classification Algorithms, PyTorch (Machine Learning Library), Operations Research, Natural Language Processing, NoSQL, Exploratory Data Analysis, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting
Abschluss · 1–4 Jahre

Kompetenzen, die Sie erwerben: Data Warehousing, NoSQL, Datenwissenschaft, Daten-Infrastruktur, Integration von Daten, Daten-Pipelines, Apache Spark, SQL, Große Daten, Datenbank-Design, Datenverwaltung, Relationale Datenbanken, Technologien zur Datenspeicherung, Datenbanken, Apache Hadoop, Datenspeicher, Daten-Seen, Daten-Governance, Auszug, Datenarchitektur, Datenspeicherung
★ 4.7 (3629) · Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Continuous Integration, Continuous Deployment, Data Infrastructure, Real Time Data, Data Integration, Data Pipelines, Development Environment, Data Management, Data Processing, Automation, Data Storage, File Systems
★ 4.4 (49) · Mittel · Spezialisierung · 1–3 Monate

Edureka
Kompetenzen, die Sie erwerben: Data Storytelling, SQL, Data Engineering, Data Presentation, Key Performance Indicators (KPIs), Dashboard Creation, Star Schema, Dashboard, Data Modeling, Data Quality, Business Analytics, Database Design, Interactive Data Visualization, Data Mart, Analytics, YAML, Data Pipelines, Data Transformation, Performance Tuning, Analysis
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Dashboard Creation, Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Store, Cloud Services, Cloud Deployment, Metadata Management, Data Storage, Data Quality, Data Cleansing, Machine Learning Methods
★ 4.6 (4395) · Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: KI-Kenntnisse, Generative KI, Data Warehousing, Daten-Infrastruktur, Daten-Synthese, Daten-Pipelines, ChatGPT, Abfragesprachen, Künstliche Intelligenz und maschinelles Lernen (AI/ML), Schnelles Engineering, Datenbank-Design, Data Mining, Verantwortungsvolle AI, Generative Modellarchitekturen, Prompt-Muster, Datenanalyse, Daten-Ethik, Erweiterte und virtuelle Realität (AR/VR), Auszug, Datenarchitektur
★ 4.7 (11.529) · Mittel · Spezialisierung · 1–3 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Data Pipelines, Extract, Transform, Load, Data Lakes, Databricks, Data Architecture, Data Processing, Data Wrangling, Data Strategy, Data Presentation, Data Mining, Data Management, Data Governance, Data Integrity, Data Science, Live Streaming, SQL, Data Storage, Data Ethics, Data Security, Apache
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Ansible, Containerization, CI/CD, Docker (Software), Version Control, DevOps, Application Deployment, Devops Tools, Data Pipelines, Development Environment, Continuous Integration, Continuous Deployment, Infrastructure as Code (IaC), Git (Version Control System), Data Infrastructure, Configuration Management, Performance Tuning, Software Versioning, Root Cause Analysis
Anfänger · Kurs · 3–6 Monate