Analytics platform for tracking and analyzing sponsored advertisements across multiple networks with competitor insights
原文の言語: 英語
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このリポジトリの skills
SkillsMP は Aradotso/data-skills から 90 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
Aradotso/data-skills収集済み skill 90 件中 40 件を表示しています。
Analytics platform for tracking and analyzing sponsored advertisements across multiple networks with competitor insights
原文の言語: 英語
Build ETL pipelines and analytics dashboards using Harvard Art Museums API with Python, SQL, and Streamlit
原文の言語: 英語
ETL pipeline and analytics app for Harvard Art Museums API with SQL storage and Streamlit visualization
原文の言語: 英語
Analyze, evaluate, and curate AI agent traces stored in BigQuery with observability dashboards, LLM-as-Judge evaluation, trajectory matching, and Agent Context Graph decision-trace extraction at scale.
原文の言語: 英語
Build end-to-end ETL pipelines and analytics dashboards using the Harvard Art Museums API with Python, SQL, and Streamlit
原文の言語: 英語
Build end-to-end data pipelines with Harvard Art Museums API, ETL workflows, SQL analytics, and Streamlit dashboards
原文の言語: 英語
CoinMarketCap Diamonds premium build with unlocked pro analytics and trading features for cryptocurrency market analysis
原文の言語: 英語
Build end-to-end data engineering pipelines with Harvard Art Museums API, ETL workflows, SQL analytics, and Streamlit dashboards
原文の言語: 英語
Build ETL pipelines and analytics dashboards using the Harvard Art Museums API with Streamlit, SQL, and Plotly
原文の言語: 英語
Production-grade GCP data engineering projects using BigQuery, Dataflow, Beam, Composer, Pub/Sub, Dataproc, and Vertex AI
原文の言語: 英語
Build ETL pipelines and analytics dashboards for Harvard Art Museums API data using Python, SQL, and Streamlit
原文の言語: 英語
Process, clean, and analyze car sales data with statistical modeling and interactive Streamlit dashboards for business insights.
原文の言語: 英語
Use Claude's portable data analytics skills library for quality checks, analysis, documentation, visualization, and stakeholder communication
原文の言語: 英語
ETL pipeline and analytics app for Harvard Art Museums API with SQL storage and Streamlit visualization
原文の言語: 英語
ETL pipeline and analytics app for Harvard Art Museums API using Python, SQL, and Streamlit
原文の言語: 英語
Build ETL pipelines and analytics dashboards for the Harvard Art Museums API using Python, SQL, and Streamlit
原文の言語: 英語
Deploy data infrastructure changes using CI/CD patterns with GitHub Actions, Terraform, and AWS OIDC authentication
原文の言語: 英語
Real-time computer vision fitness game platform using YOLO, MediaPipe, Spring Boot orchestration, and React dashboard for webcam-based exercise tracking
原文の言語: 英語
600+ patterns and concepts for Azure Databricks, Microsoft Fabric, and PySpark data engineering - covering lakehouse architecture, Delta Lake, pipelines, and production best practices.
原文の言語: 英語
Inside Airbnb data warehouse built with Snowflake and dbt, demonstrating modern analytics engineering patterns with staging, intermediate, and mart layers.
原文の言語: 英語
End-to-end retail ETL pipeline using PySpark, SQL Server, and Medallion Architecture (Bronze/Silver/Gold layers) for data warehousing
原文の言語: 英語
End-to-end retail ETL pipeline using Medallion Architecture (Bronze/Silver/Gold) with TSQL, PySpark, and Airflow for inventory, sales, and supplier data processing
原文の言語: 英語
Infrastructure-as-Code fundamentals for data engineering using Terraform to provision AWS resources (S3, EC2, IAM)
原文の言語: 英語
Infrastructure-as-Code with Terraform for data engineering on AWS (S3, EC2, IAM)
原文の言語: 英語
Infrastructure-as-Code fundamentals for data engineers using Terraform to provision AWS resources (S3, EC2, IAM)
原文の言語: 英語
Infrastructure-as-Code patterns for data engineering with Terraform on AWS (S3, EC2, IAM)
原文の言語: 英語
Infrastructure-as-Code patterns for data engineering using Terraform to provision AWS resources (S3, EC2, IAM)
原文の言語: 英語
End-to-end data engineering and analytics application for Harvard Art Museums API with ETL pipelines, SQL analytics, and Streamlit visualization
原文の言語: 英語
End-to-end data engineering pipeline for Harvard Art Museums API with ETL, SQL analytics, and Streamlit visualization
原文の言語: 英語
End-to-end data engineering pipeline using MinIO, Airbyte, PostgreSQL, DBT, and Airflow with medallion architecture (Bronze/Silver/Gold layers)
原文の言語: 英語
End-to-end ELT pipeline using SSIS, SQL Server, and PySpark for enterprise data warehousing and analytics
原文の言語: 英語
Build end-to-end real-time data pipelines with Kafka, PostgreSQL, Airflow, and Streamlit using Medallion Architecture for streaming analytics.
原文の言語: 英語
SQL and Python-based employee performance analytics with KPI aggregation, departmental insights, and HR dashboard generation
原文の言語: 英語
Reference portfolio demonstrating Azure data engineering patterns, Medallion architecture, and end-to-end analytics solutions
原文の言語: 英語
Claude Code skills for analytics and data engineers working with dbt, Snowflake, and data pipelines
原文の言語: 英語
Comprehensive study guide covering data engineering concepts, tools, and best practices for learning and reference
原文の言語: 英語
AI-powered GA4 + GTM event tracking automation — analyzes sites, designs event schemas, syncs GTM containers, runs preview verification, and publishes tracking implementations.
原文の言語: 英語
Build AI agents for real-time financial options analysis with LangGraph, ChromaDB RAG, and Polygon.io data
原文の言語: 英語
Multi-platform hot search crawler and LLM-powered public opinion analysis system with clustering, sentiment analysis, and multi-channel push notifications
原文の言語: 英語
Deploy and use an LLM-powered public opinion analytics assistant that crawls 26 hot lists from 15 platforms, performs sentiment analysis, topic clustering, and multi-channel alerting
原文の言語: 英語