
Duke University
Kompetenzen, die Sie erwerben: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, GitHub Copilot, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
★ 3.8 (122) · Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Große Daten, Technologien zur Datenspeicherung, Daten-Governance, Relationale Datenbanken, Daten-Infrastruktur, Datenspeicherung, Daten-Seen, Datenarchitektur, Integration von Daten, Datenbank-Design, Daten-Pipelines, Datenbanken, NoSQL, Apache Spark, SQL, Data Warehousing, Datenwissenschaft, Apache Hadoop, Datenspeicher, Datenverwaltung, Auszug
★ 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

Kompetenzen, die Sie erwerben: Dashboard, Conversion Funnel Analysis, Data Preprocessing, Apache Airflow, Star Schema, Data Storytelling, Extract, Transform, Load, Data Transformation, SQL, Data Pipelines, JSON, Apache Kafka, Data Warehousing, Data Modeling, Pandas (Python Package), Business Intelligence, Data Validation, Data Quality, Performance Improvement, Python Programming
Mittel · Spezialisierung · 3–6 Monate

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

Kompetenzen, die Sie erwerben: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Scala Programming, Data Pipelines, Test Driven Development (TDD), Apache Airflow, Data Lakes, Apache Spark, CI/CD, Apache Kafka, Data Quality, Data Architecture, Performance Tuning, Data Store, Unit Testing, Data Transformation, Data Processing, Data Validation, Maintainability, Continuous Integration, Continuous Deployment, Data Integrity
Mittel · Kurs · 3–6 Monate
Duke University
Kompetenzen, die Sie erwerben: Große Daten, Datenmanipulation, MySQL, Befehlszeilenschnittstelle, Pandas (Python-Paket), Python-Programmierung, Bash (Skriptsprache), Web-Scraping, Git (Versionskontrollsystem), Versionskontrolle, Shell-Skript, Jupyter, Microservices, AWS SageMaker, Linux, SQL, Datenwissenschaft, Linux-Befehle, Linux-Verwaltung, JSON
★ 4.5 (478) · Anfänger · Spezialisierung · 3–6 Monate

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

Kompetenzen, die Sie erwerben: AWS Kinesis, Data Engineering, Amazon Redshift, Amazon Web Services, Apache Kafka, Cloud Computing Architecture, Data Lakes, Real Time Data, Amazon Elastic Compute Cloud, Data Management, Cloud Engineering, Cloud Management, Interactive Data Visualization, Amazon S3, Data Integration, Data Architecture, Data Migration, Performance Tuning, Serverless Computing, AWS Identity and Access Management (IAM)
Mittel · Spezialisierung · 3–6 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: Generative KI, Künstliche Intelligenz und maschinelles Lernen (AI/ML), Prompt-Muster, Daten-Synthese, Daten-Infrastruktur, ChatGPT, Abfragesprachen, Generative Modellarchitekturen, Datenarchitektur, Datenbank-Design, Erweiterte und virtuelle Realität (AR/VR), Daten-Pipelines, Data Mining, KI-Kenntnisse, Data Warehousing, Auszug, Daten-Ethik, Datenanalyse, Schnelles Engineering, Verantwortungsvolle AI
★ 4.7 (11.518) · Mittel · Spezialisierung · 1–3 Monate