SQL-Kurse können Ihnen helfen zu lernen, wie Daten abgefragt, gefiltert und strukturiert werden. Sie können Fähigkeiten in Tabellenaufbau, Joins, Aggregationen und Datenanalyse aufbauen. Viele Kurse stellen Beispiele und Tools vor, die den Umgang mit Datenbanken erleichtern.

Kompetenzen, die Sie erwerben: Data Lakes, Data Warehousing, Data Pipelines, Data Architecture, Cloud Engineering, Cloud Storage, Google Cloud Platform, Data Storage, SQL
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Dataflow, Real Time Data, Google Cloud Platform, Data Pipelines, Big Data, Data Processing, Advanced Analytics, Performance Tuning, Query Languages, Serverless Computing, Data Storage Technologies, Data Transformation, Scalability
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Data Migration, Google Cloud Platform, Cloud Storage, Extract, Transform, Load, Cloud Engineering, Data Pipelines, Data Import/Export, Data Infrastructure, Data Processing, Data Capture, Big Data, Data Warehousing, Data Integration, Data Storage, SQL, IT Automation, Data Transformation, Data Management, Automation
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Apache Hadoop, Data Import/Export, HR Tech, People Analytics, Big Data, Data Pipelines, Data Storage, Data Processing, Authentications, Data Migration, SQL, Analytics, Database Management, Data Quality, Performance Tuning, Scalability, Data Security
Anfänger · Kurs · 1–4 Wochen
Kompetenzen, die Sie erwerben: Data Transformation, Real Time Data, Data Pipelines, Power BI, Data Processing, Data Quality, Live Streaming, Dashboard, Dashboard Creation, PySpark, Business Intelligence, Data Integrity, Data Governance, CI/CD, Data Validation, Performance Tuning
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Big Data, Analytics, Data Analysis, Applied Machine Learning, Model Training, Machine Learning Methods, Google Cloud Platform, Model Deployment, Machine Learning, Machine Learning Algorithms, Predictive Modeling, SQL
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Identity and Access Management, Google Cloud Platform, Cloud Infrastructure, Infrastructure As A Service (IaaS), Data Storage Technologies, Cloud Computing, Data Storage, Cloud Management, Cloud Storage, Cloud Services, Cloud Computing Architecture, Key Management, Authorization (Computing), Role-Based Access Control (RBAC), System Monitoring, Security Management, NoSQL, Encryption
Mittel · Kurs · 1–3 Monate

Google Cloud
Kompetenzen, die Sie erwerben: Google Gemini, Gemini, Generative AI, Google Cloud Platform, Large Language Modeling, Customer Relationship Management, AI literacy, Applied Machine Learning, SQL, AI Integrations, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Data Pipelines, Data Sharing, Extract, Transform, Load, Data Infrastructure, Cloud Engineering, Apache Airflow, Data Migration, Data Processing, Data Warehousing, Data Integration, Google Cloud Platform, Metadata Management, Data Lakes, Data Import/Export, Cloud Storage, Big Data, IT Automation, Data Transformation
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Apache Airflow, Data Pipelines, Scalability, Feature Engineering, Extract, Transform, Load, Workflow Management, AI Workflows, AI Orchestration, Data Infrastructure, Data Integration, Database Design, Data Modeling, Data Architecture, Data Quality, Data Processing, Data Storage
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Looker (Software), Data Transformation, Google Cloud Platform, Analytics, Data-Driven Decision-Making, Dashboard Creation, Data Analysis, Data Visualization Software, SQL, Data Storage, Data Sharing, Data Storage Technologies
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Deployment, Apache Spark, Time Series Analysis and Forecasting, MLOps (Machine Learning Operations), Big Data, Feature Engineering, Statistical Analysis, Distributed Computing, Forecasting, Anomaly Detection, Generative AI, Predictive Modeling, Model Training, Exploratory Data Analysis, Data Pipelines, Model Evaluation, Data Cleansing, Data Transformation, Data Quality, Statistical Modeling
Mittel · Kurs · 1–3 Monate