Data Analysis for STEM the Gap Academy

The main goal for the project is to review data from social media, hotjar, and analytics on the Squarespace platform to understand trends, how people use the website, and provide direction on how to improve ROI for STEM the Gap Academy. This will involve several different steps for the learners, including: - Collecting and analyzing data from social media platforms, hotjar, and Squarespace analytics. - Identifying trends and patterns in user behavior and engagement. - Providing recommendations on how to improve the website's performance and increase ROI.

Teal Climate - Global Database Expansion System

Teal Climate is seeking to enhance its database update systems to achieve global coverage. The current databases contain over a hundred thousand rows compiled from various online sources, focusing on limited geographic areas. The goal of this project is to develop a system that can extrapolate these limited geographic databases to achieve comprehensive global coverage. This will involve utilizing relevant data and machine learning models to predict and fill in gaps in the existing data. The project will provide learners with the opportunity to apply their knowledge of database management, data analysis, and machine learning. The tasks will include analyzing the current database structure, identifying gaps, and developing algorithms to extrapolate data for global coverage. - Analyze the current database structure and identify geographic data gaps. - Develop machine learning models to predict and fill in missing data. - Test and validate the accuracy of the extrapolated data. - Document the process and results for future reference.