Honors Contract

Honors Contract project: 

Summary: To solve climate change challenges, our climate research initiative incorporates worldwide data sharing, practical application of classroom learning, and sophisticated analysis.

Reflection: It has sharpened our data analysis and teamwork abilities, demonstrating our dedication to addressing important global concerns.

Artifact: Our data journey and teamwork are captured in the project chronology, displaying our analytical skills.

Step 1: : Analysis project 

 We will increase our research efforts to discover and engage with a varied range of credible sources for example:  acquiring climate data from other nations. This foreign component will not only widen our understanding but also increase our cross-cultural communication and data gathering abilities, adding depth and breadth to the project. we will  apply our classroom learning in data analysis, and statistical modeling to a real-world problem as a group. doing Research and discovering different trust governmental  sources  for gathering our information like climate in different countries.  Some we will be connecting, communicating, collecting information internationally.

- Also, our project will revolve around addressing complex questions related to climate change’s global impact, so through data analysis and statistical modeling we will work to uncover trends and potential solutions to mitigate its effects. (Problem solving). Also using sophisticated techniques and tools, typically beyond those of traditional business intelligence (BI), to discover deeper insights, make predictions, or generate recommendations.

Create, read, and analyze data.

Work in a group to perform, analyze, and communicate various steps of a chosen data set.

Some Load, clean, and manipulate data using Python modules. Design analytical methods, and report final analysis.

Sep 5: discussion

Sep 7: Getting information to start and what exactly we will do data analysis for.

Sep 12: meeting and start our first analysis and gathering more useful information for example (climate, country and etc)

Sep 14: do our chart for professional advanced analysis, organizing.

Sep: 19: continue into getting more deeply information, for example email requesting, explore different trust sources (government), ask for more information, daily status tracking,

Sep 21: meet our professor for more helpful information.

Sep 26: do final review, organize our project more professionally, write our conclusion, and professor comment.

Oct 3: refreshing and discussion about our advanced data analysis project. And write a reflection essay about it.

Oct 17 – Oct 24: submitting it.