ryo-ngked/data-science-training-2025
Aug 2025 – Sep 2025
2 Months active
Languages Used
MarkdownPythonJupyter Notebook
Technical Skills
Data ScienceDocumentationIntro to ProgrammingIntroductory ProgrammingJupyter NotebookProgramming Fundamentals
lsy13612
PROFILE
Lsy13612
SY Lim developed a suite of beginner-focused data science training materials in the ryo-ngked/data-science-training-2025 repository over two months, emphasizing hands-on learning and progress tracking. They created Jupyter Notebooks covering Python fundamentals, arithmetic, variables, and core Pandas operations, as well as data visualization exercises using Matplotlib and Seaborn. Lim consolidated weekly progress logs and learning documentation in Markdown, improving onboarding and curriculum transparency. The work demonstrated a methodical approach to curriculum delivery, with clear separation of concepts and practical exercises. By focusing on foundational programming and data analysis skills, Lim provided a structured, accessible entry point for new learners.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
14Total
Bugs
0
Commits
14
Features
6
Lines of code
215
Activity Months2
Your Network
20 people
Work History
September 2025
4 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for ryo-ngked/data-science-training-2025 emphasizing new hands-on notebooks and progress documentation that advance curriculum delivery and learner progress visibility.
4 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for ryo-ngked/data-science-training-2025 emphasizing new hands-on notebooks and progress documentation that advance curriculum delivery and learner progress visibility.
September 2025
August 2025
10 Commits • 3 Features
Aug 1, 2025In August 2025, the data-science-training-2025 repository focused on delivering hands-on beginner notebooks and enhancing progress-tracking documentation, with no major bugs reported. Key outcomes include the introduction of a new Arithmetic and Variables notebook, a set of Python fundamentals practice notebooks, and an overhaul of weekly progress logs and learning-tracking documentation. These efforts improved learner engagement, onboarding, and visibility into study progress, while maintaining strong version control discipline.
August 2025
10 Commits • 3 Features
Aug 1, 2025In August 2025, the data-science-training-2025 repository focused on delivering hands-on beginner notebooks and enhancing progress-tracking documentation, with no major bugs reported. Key outcomes include the introduction of a new Arithmetic and Variables notebook, a set of Python fundamentals practice notebooks, and an overhaul of weekly progress logs and learning-tracking documentation. These efforts improved learner engagement, onboarding, and visibility into study progress, while maintaining strong version control discipline.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPython
Technical Skills
Data ScienceData VisualizationDocumentationIntro to ProgrammingIntroductory ProgrammingJupyter NotebookMatplotlibPandasProgramming FundamentalsPythonSeaborn
Repositories Contributed To
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