Total 50,476 skills, Data Processing has 2559 skills
Showing 12 of 2559 skills
API de Estadísticas Monetarias v4.0 del BCRA con 638 series macroeconómicas (reservas, tipo de cambio, tasas, M1/M2/M3, inflación, CER, UVA).
Complete DataForSEO API integration for SEO data and analysis. Use when the user asks for keyword research, search volume, SERP analysis, backlink audits, competitor analysis, rank tracking, domain authority, technical SEO audits, content monitoring, Google Trends, or any SEO-related data queries. Covers all DataForSEO APIs including SERP, Keywords Data, DataForSEO Labs, Backlinks, OnPage, Domain Analytics, Content Analysis, Business Data, Merchant, App Data, and AI Optimization APIs. Outputs CSV files.
Use for creating websets, running searches, importing CSV data, managing items, and adding enrichments to extract structured data.
Use when implementing data governance frameworks, building data catalogs, establishing data lineage, defining data quality rules, or setting up data stewardship programs - covers metadata management, data quality, and complianceUse when ", " mentioned.
Data validation with quality scoring and quarantine for suspicious records. Validates incoming data without blocking the pipeline, enabling manual review of edge cases.
Unified query of financial data such as stocks and cryptocurrencies. Supports multiple data sources including Yahoo Finance, Alpha Vantage, Tushare, and Binance. Used when users need market data, quotes, and financial data.
Guide for modernizing legacy Python 2 scientific computing code to Python 3 with modern libraries. This skill should be used when migrating scientific scripts involving data processing, numerical computation, or analysis from Python 2 to Python 3, or when updating deprecated scientific computing patterns to modern equivalents (pandas, numpy, pathlib).
Calculate statistical significance for A/B tests. Sample size estimation, power analysis, and conversion rate comparisons with confidence intervals.
Expert in business intelligence, SQL, data visualization, and translating data into actionable business insights.
Use when defining events, fields, and governance for GTM analytics pipelines.
Expert-level Apache Airflow orchestration, DAGs, operators, sensors, XComs, task dependencies, and scheduling
Handle messy CSVs with encoding detection, delimiter inference, and malformed row recovery.