**NOTE: Some of these projects were part of graded assignments, projects for college course grades or case studies to pass certifications. To prevent cheating in my professors' future courses or to obtain certificates, I record them with videos instead of showcasing the files with the programs or analyses.
I do possess the actual files, though, if there is a need for them.**
This was a graded project for Data Mining for Business Intelligence.
I cleaned, manipulated, and analyzed (through data visualizations and models) a wine quality dataset from Kaggle with R.
The project required using at least 7 models for classifying, clustering, and association analysis.
Finally, we had to record a presentation and submit.
This practice was a graded assignment from college as part of my Management Information Systems course during my sophomore year, which ended with an A grade. The entire course covered Excel, SQL, Tableau, and dashboards.
The purpose was to analyze the given real estate data and make corresponding dashboards in Excel, Tableau, and (a makeshift one in) SQL. I had to work with another classmate to work on it. We had 2-3 weeks to complete it before the final exam.
The entire project was divided into four milestones. They included cleaning and manipulating datasets 1-3 and 4-7, then using visualizations to analyze the data and appropriately placing the visualizations in dashboards.
This is my first practice. It was a case study to wrap up my Google Data Analytics Certification Course. The course offered two tracks. This was the first of the two options of the first track - to analyze data already given.
This particular practice was to produce marketing strategies for a fictional bike-sharing company, Cyclistic, based on 38 months (from April 2020) worth of company data. The presentation was made inferring that it was made by a junior analyst within Cyclistic's Marketing Analytics Team.
I have an affinity for marketing from this case study and considered doing more similar projects.
*There are glitches in the preview here, so downloading it and viewing it on Microsoft PowerPoint would be better*