Data Analysis - Testing our Survey Insights Engine

We have developed a Survey Insights Engine and we would like the help of students to compare the results of our AI software to their manual data analyses. Our AI Survey Insights Engine transforms thousands of quantitative and written survey responses into concise, and actionable insights and key themes – enabling our customers to make better and faster decisions. We need to verify the results of our Survey Insights Engine compared do manual analysis done by humans (the students) What a student can do in 80 hours our AI can do in 30 to 90 minutes. Students will manually analysis the raw survey data, pull out the quantitative and qualitative key themes, and then compare their results to the results of our AI. Deliverables:Manually analyzed raw survey results 1-3 per student (surveys range from 7 to 40+ questions with 100 to 1000+ respondents) that include1) Quantitative results of multiple choice questions 2) Qualitative results (key themes) of written response questions 3) Comparison of manual vs AI survey results analyses

Data Analytics and Visualization Project

The goal of this project is to create a dashboard template using EHASE/ifdha business intelligence software( New data visualization platform similar to Power Bi and Tableau) This will involve several different steps for the students, including:- Analyzing existing datasets and understanding the data structure.- Developing a dashboard template for various business/client use cases using EHASE/IFDHA business intelligence platform/web portal using data analysis and visualization software.- Optimizing software runtime performance and assessing areas for improvement.- Research other variables that can improve the quality of the dashboard.- Testing the developed data visualization templates and making improvements based on additional data.

Data Entry: review & approve blog posts, add internal links

Our content team creates dozens of new blog posts every week (published here: https://www.squash.io/tutorials/). These are mostly software development tutorials and other relevant content to our audience. We would like to collaborate with students in data entry to perform some basic final quality checks on these articles as well as adding internal links between articles when needed.This will involve several different steps for the students, including:Familiarizing themselves with our content and structure. We do NOT require any experience with software development. You will review the articles based on a list of general guidelines that we will be providing to you. These are mostly related to visual aspects and formatting of the content.The internal links between articles are already automated, you only need to accept or ignore suggestions that are already made by a software/plugin that we use with Wordpress. We will provide detailed instructions on how to do that.Become familiar with WordPress and using a plugin to accept internal link suggestions.Approving or rejecting blog posts according to our internal guidelines.

Data Entry

Our research lab publishes dozens of papers every year to promote projects in our field of research. Among these papers are studies detailing our lab’s findings from analyzing databases.We would like to collaborate with students in data entry.This will involve several different steps for the students, including:Familiarizing themselves with our database structure.Transferring data into our databases efficiently.Verifying the accuracy of the data in our databases and making relevant updates.Organizing and retrieving data as requested.Bonus steps in the process would also include:Providing assistance in creating new databases.