From cfe4ed2565dd6d702ca77ce21003e7adb7d27fd8 Mon Sep 17 00:00:00 2001 From: unknown Date: Thu, 20 Nov 2025 08:22:09 -0500 Subject: [PATCH] add learning goals Kenley again --- collaboration/{group_norms.md => group_norms} | 0 collaboration/learning_goals | 66 +++++++++++++++++++ collaboration/learning_goals.md | 53 --------------- 3 files changed, 66 insertions(+), 53 deletions(-) rename collaboration/{group_norms.md => group_norms} (100%) delete mode 100644 collaboration/learning_goals.md diff --git a/collaboration/group_norms.md b/collaboration/group_norms similarity index 100% rename from collaboration/group_norms.md rename to collaboration/group_norms diff --git a/collaboration/learning_goals b/collaboration/learning_goals index e69de29..746111d 100644 --- a/collaboration/learning_goals +++ b/collaboration/learning_goals @@ -0,0 +1,66 @@ + +# Learning Goals + +## Collective + +**Our shared goals for these exercises are**: + +Strengthen our collaboration and communication skills in a technical context by +working through coding challenges together and exchanging ideas openly. + +Develop a consistent and professional workflow for writing, structuring, reviewing, + and improving code using shared standards and GitHub best practices. + +Write clear, readable, and well-documented solutions, including modular functions, +meaningful commit messages, polished notebooks, and accessible READMEs. + +Support each other’s learning through constructive feedback, code reviews, + and active knowledge sharing—so everyone learns from everyone. + +Build confidence and creativity in how we approach problems as a team, experimenting +with new techniques and tackling challenges with curiosity. + +Deepen our data-science foundations through weekly practice with EDA, visualization, + and fundamental statistics applied to real datasets. + +Create an inclusive, supportive learning environment where all voices are welcomed, +questions are encouraged, and leadership is shared. + +Communicate insights clearly by translating technical results into simple explanations, + one-pagers, and concise presentations. + +Promote reproducible, future-friendly work through automation, versioning, +structured pipelines, and documentation that helps future collaborators. + +## Individual Learning goal + +### Kervens Louis + +Build consistency and personal discipline by dedicating regular time to research, +review, and independent practice. + +Apply personal agency tools to set clear intentions, monitor progress, +and stay accountable throughout the project. + +Strengthen collaborative coding skills by mastering GitHub workflows +(branching, pull requests, conflict resolution) and writing meaningful commit messages. + +Develop clear technical communication by maintaining well-commented scripts, +structured notebooks, and visual explanations of decisions. + +Create reproducible workflows for data loading, cleaning, and modeling through +modularized code and versioned notebooks. + +Apply data science to real-world questions—especially related to education, policy, +or social outcomes, and document insights for both technical and non-technical audiences. + +### Pierre Kenley MERVIL + +• Improve my collaboration skills by working remotely in a team +and communicating on a daily or biweekly basis. +• Using my programming,python, AI and ML skills to tackle real +world problems that my country are currently facing. +• Improve my communication skills by developing storytelling and communication strategy +• Master PowerBI by creating Dashboard to sustain story and enhance comprehension +• Make progress in my career as a backend developer and python developer. +• Apply my Data science knowledge in the sustainable tourism sector. diff --git a/collaboration/learning_goals.md b/collaboration/learning_goals.md deleted file mode 100644 index b689db4..0000000 --- a/collaboration/learning_goals.md +++ /dev/null @@ -1,53 +0,0 @@ - -# Learning Goals - -## Collective - -**Our shared goals for these exercises are**: - -Strengthen our collaboration and communication skills in a technical context by -working through coding challenges together and exchanging ideas openly. - -Develop a consistent and professional workflow for writing, structuring, reviewing, - and improving code using shared standards and GitHub best practices. - -Write clear, readable, and well-documented solutions, including modular functions, -meaningful commit messages, polished notebooks, and accessible READMEs. - -Support each other’s learning through constructive feedback, code reviews, - and active knowledge sharing—so everyone learns from everyone. - -Build confidence and creativity in how we approach problems as a team, experimenting -with new techniques and tackling challenges with curiosity. - -Deepen our data-science foundations through weekly practice with EDA, visualization, - and fundamental statistics applied to real datasets. - -Create an inclusive, supportive learning environment where all voices are welcomed, -questions are encouraged, and leadership is shared. - -Communicate insights clearly by translating technical results into simple explanations, - one-pagers, and concise presentations. - -Promote reproducible, future-friendly work through automation, versioning, -structured pipelines, and documentation that helps future collaborators. - -## Individual Learning goal (Kervens) - -Build consistency and personal discipline by dedicating regular time to research, -review, and independent practice. - -Apply personal agency tools to set clear intentions, monitor progress, -and stay accountable throughout the project. - -Strengthen collaborative coding skills by mastering GitHub workflows -(branching, pull requests, conflict resolution) and writing meaningful commit messages. - -Develop clear technical communication by maintaining well-commented scripts, -structured notebooks, and visual explanations of decisions. - -Create reproducible workflows for data loading, cleaning, and modeling through -modularized code and versioned notebooks. - -Apply data science to real-world questions—especially related to education, policy, -or social outcomes, and document insights for both technical and non-technical audiences.