Skip to main content
skillsmp

Menu

Scientifiques des données

Professions informatiques et mathématiques · Compétences professionnelles · SOC 15-2051 · 41 668 skills

Contexte du métier

Ces tâches O*NET décrivent le métier et donnent le contexte de la correspondance SOC ; elles ne signifient pas que chaque Skill de la liste accomplit toutes les tâches.

  • Analyze, manipulate, or process large sets of data using statistical software.
  • Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
  • Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.

Les tâches O*NET sont affichées dans leur langue source (anglais). Les données sur les tâches sont extraites de la O*NET® 29.1 Database de l’USDOL/ETA et utilisées sous CC BY 4.0.

Sources représentatives

Un échantillon limité de Skills populaires associés à ce métier, avec au plus un Skill par dépôt GitHub. La liste complète suit ci-dessous.

mle-workflow
240.5k
affaan-maffaan-m/ECC
Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.
evaluating-llms-harness
231.5k
NousResearchNousResearch/hermes-agent
lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).
xlsx
169.7k
anthropicsanthropics/skills
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
chart-visualization
80.1k
bytedancebytedance/deer-flow
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.

Tous les Skills associés

Parcourez l’association complète par popularité du dépôt ou activité récente de la source.

Les noms et descriptions des Skills restent dans la langue fournie par leur dépôt source.

Trier par
xlsx
169.7k
anthropicsanthropics/skills
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

12 Skills sont maintenant affichés.