Advanced Excel techniques for data analysis including formulas, pivot tables, Power Query, and dashboard creation.
Open Source
Skills for self-hosted AI using Ollama, LM Studio, and open-source models like DeepSeek, Qwen, and Llama. Full privacy, zero API costs, unlimited usage.
1030 skills available
Run powerful AI models locally with complete control over your data. Open-source tools like Ollama and LM Studio make it easy to deploy models rivaling proprietary services — no cloud dependency, no API costs, no data leaving your machine. The open-source ecosystem in 2026 has reached parity with commercial offerings for many tasks.
Popular Models to Run Locally:
- DeepSeek V3.2 — 671B total / 37B active parameters, comparable to GPT-5, MIT license
- Qwen3 — 700M+ downloads, models from 0.6B to 235B, Apache 2.0 license
- Llama 4 Scout/Maverick — Multimodal, up to 10M token context
- Mistral / Codestral — Strong for coding tasks
- Gemma, Phi, NVIDIA Nemotron — Smaller models for consumer hardware
Local Deployment Tools:
- Ollama — CLI-first, 20% faster inference, lower memory usage, ideal for developers and production
- LM Studio — GUI-focused with built-in chat, model discovery, and easy downloads
- LocalAI — OpenAI-compatible API for drop-in replacement
- vLLM — High-throughput serving for production deployments
Key Strengths:
- Complete privacy with local execution — no data leaves your machine
- Zero ongoing costs after hardware setup
- Works fully offline without internet
- Mix and match models for different tasks
- Unlimited usage with no rate limits or subscriptions
- Fine-tune and customize models for your domain
Best For: Privacy-critical workflows, air-gapped environments, unlimited AI experimentation, custom model fine-tuning, and developers who want full ownership of their AI stack.
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Comprehensive data analysis framework covering the full analytics lifecycle from problem definition to actionable insights.
Master data preparation and cleaning techniques to transform raw, messy data into analysis-ready datasets.
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Turn numbers into insights with frameworks for interpreting analysis results and communicating findings effectively.
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Transform data insights into compelling narratives that drive action using proven storytelling frameworks.
Create effective charts and visualizations that communicate insights clearly following best practices in visual design.
Master email sequences, drip campaigns, and automation workflows. Create high-converting email funnels that nurture and sell.
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Advanced Excel techniques for data analysis including formulas, pivot tables, Power Query, and dashboard creation.
Design C-suite dashboards that communicate business health at a glance with strategic KPIs and clear visual hierarchy.
Systematic EDA techniques to understand data distributions, relationships, and patterns before formal analysis.
Analyze financial data, build financial models, and create reports with key metrics like revenue, margins, and cash flow.
Analyze conversion funnels to identify drop-off points, optimize user flows, and improve conversion rates.
Analyze healthcare data for clinical outcomes, operational efficiency, and population health insights.
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HR Analytics
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