python-data-analysis-course-cohort-5
autom8or-com/python-data-analysis-course-cohort-5
This repository provides a comprehensive 9-month data analytics and AI bootcamp curriculum spanning Excel, Python, SQL, visualization tools, and specialized tracks.
3 15No licenseUpdated 2026-03-12
54
FairOverview
The PORA Academy Cohort 5 program curriculum repository outlines a structured multi-phase journey taking students from foundational spreadsheet operations to advanced data engineering, machine learning drug discovery, and automated web application development using tools like Streamlit and Looker Studio.
Capabilities
- ▸Structured progression from Excel to Python and SQL
- ▸Capstone project frameworks and evaluation guidelines
- ▸Specialized tracks covering automation, data engineering, advanced analytics, and ML drug discovery
- ▸Guidance on AI-assisted problem solving and troubleshooting
Best for
Following a structured 9-month data analytics curriculum, Accessing lesson plans, datasets, and study guides for data science cohorts, Working through industry-aligned capstone projects in logistics, marketing, and e-commerce
Works with
Claude Code
Evoa Score breakdown= Σ (score × weight)
54Task usefulness20%77 → +15.4
実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析
Code quality15%75 → +11.3
実装・指示の品質。 — AIによるSKILL.md/README解析
Maintenance15%70 → +10.5
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
Documentation12%26 → +3.1
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
Security15%100 → +15.0
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
Originality10%40 → +4.0
ありふれたラッパーではない独自性。 — AIによる独自性判定
Popularity8%38 → +3.0
コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）
Compatibility5%25 → +1.3
対応AIエージェントの広さ。 — AIによる対応エージェント判定
Weighted total63.6 / 100
ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
The repository contains educational materials and curriculum files with no inherent code execution risks.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.