Kurser i data, AI och cloud

• GrundläggandeKunskapsnivå
• 4.7+
• 40 recensioner

Learn how to visualize big data in R using ggplot2 and trelliscopejs.

• MedelnivåKunskapsnivå
• 4.7+
• 23 recensioner

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

• MedelnivåKunskapsnivå
• 4.8+
• 9 recensioner

Build modern data lakehouses on Google Cloud using BigQuery, Cloud Storage, Apache Iceberg, BigLake, federated queries, and data governance tools.

• MedelnivåKunskapsnivå
• 4.8+
• 38 recensioner

Learn to create animated graphics and linked views entirely in R with plotly.

• MedelnivåKunskapsnivå
• 4.7+
• 34 recensioner

Continue learning with purrr to create robust, clean, and easy to maintain iterative code.

• MedelnivåKunskapsnivå
• 5
• 1 recension

Build conversational AI apps that answer questions from your data with Cortex Search and Cortex Analyst on Snowflake.

• GrundläggandeKunskapsnivå
• 4.9+
• 11 recensioner

With Google Slides, you can create and present professional presentations for sales, projects, training modules, and much more.

• GrundläggandeKunskapsnivå
• 4.9+
• 10 recensioner

Learn to upload, organize, share, and manage files and folders in Google Drive from any device.

• GrundläggandeKunskapsnivå
• 4.8+
• 12 recensioner

Learn to create and manage events, schedule meetings, share calendars, and use tasks and reminders to stay organized.

• GrundläggandeKunskapsnivå
• 4.8+
• 11 recensioner

Learn to create, format, and collaborate on documents in real time using Google Docs, stored securely in the cloud.

• MedelnivåKunskapsnivå
• 4.8+
• 19 recensioner

Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.

• GrundläggandeKunskapsnivå
• 4.8+
• 6 recensioner

Turn a basic AI agent into a sophisticated assistant using advanced instructions, model selection, planning capabilities, and structured output.

• GrundläggandeKunskapsnivå
• 4.7+
• 10 recensioner

Learn to schedule, host, and manage video meetings in Google Meet, including screen sharing and collaboration tools.

• GrundläggandeKunskapsnivå
• 4.6+
• 12 recensioner

Learn to message individuals and groups, collaborate in spaces, and integrate Google Chat with other Workspace apps.

• GrundläggandeKunskapsnivå
• 4.8+
• 10 recensioner

Learn to create and edit spreadsheets in Google Sheets, work with data, build formulas, and collaborate in real time.

• AvanceradKunskapsnivå
• 4.6+
• 22 recensioner

Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

• GrundläggandeKunskapsnivå
• 4.8+
• 66 recensioner

Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

• MedelnivåKunskapsnivå
• 4.8+
• 8 recensioner

Master Apache Beam and Dataflow foundations including portability, Runner v2, Shuffle Service, Streaming Engine, IAM, quotas, and security.

• GrundläggandeKunskapsnivå
• 5
• 4 recensioner

Equip AI agents with tools for web search, code execution, database queries, and custom actions. Transform agents into capable assistants.

• MedelnivåKunskapsnivå
• 4.7+
• 8 recensioner

Design and operate batch data pipelines on Google Cloud using Dataflow, Serverless Spark, Cloud Composer, and data validation techniques.

• MedelnivåKunskapsnivå
• 4.7+
• 7 recensioner

Deploy and manage Kubernetes workloads on GKE. Cover networking, deployments, jobs, persistent storage, and data management in production environments.

• MedelnivåKunskapsnivå
• 4.8+
• 7 recensioner

Explore streaming data architectures on Google Cloud with Pub/Sub, Managed Kafka, Dataflow, and BigQuery for real-time data processing.

• MedelnivåKunskapsnivå
• 4.6+
• 6 recensioner

Secure and monitor GKE production environments. Learn access control, logging, monitoring, CI/CD pipelines, and managed storage integration on Google Cloud.

• AvanceradKunskapsnivå
• 4.5+
• 4 recensioner

Scale and manage multi-cluster GKE environments. Master fleets, Cloud Service Mesh, identity management, CI/CD at scale, and GKE Enterprise capabilities.

• GrundläggandeKunskapsnivå
• 5
• 6 recensioner

Build stateful AI agents that maintain context and remember user preferences using session state, memory management, and personalization.

• GrundläggandeKunskapsnivå
• 4.8+
• 7 recensioner

Use Gemini AI to boost your productivity in BigQuery. Explore data, accelerate code development, and discover visualization workflows.

• AvanceradKunskapsnivå
• 4.7+
• 7 recensioner

Develop data pipelines with Apache Beam and Dataflow. Cover transforms, windowing, I/O connectors, schemas, state APIs, Beam SQL, and notebooks.

• MedelnivåKunskapsnivå
• 4.8+
• 32 recensioner

Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network

• MedelnivåKunskapsnivå
• 4.7+
• 9 recensioner

Work with Gemini AI models in BigQuery for sentiment analysis. Analyze customer reviews using SQL and Python notebooks with Gemini.

• GrundläggandeKunskapsnivå
• 4.7+
• 44 recensioner

Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.