In the Summer of 2019, I took the University of Arkansas Global Campus Data Science Certificate Course. Data Science is a every growing and changing field. My teachers were trying to introduce us to the field by giving us a foundation on thinking like a Data Scientist. We learned vocabulary, strategies on thinking about the problems in Data Science and when you use certain models. We even had the opportunity to pick a real-world problem and use it for our project that we were going to present at the end of the course. What an undertaking!!!!
We learned.
- Data Wrangling
- Data Munging
- Feature Engineering
- Model Selection
- Visualization
It was challenging and I was eager to learn how to use my new found skills. This repository is a small glimpse into how our data science certificate course. I would recommend to any well-balanced engineer looking for the next step in his or her career. If you interested into applying for the course, click this link so you can get more information.
Since 2014, I have been in the Banking Industry. I have been introduced to many areas that Data Science could help gain valuable insight. I have been noticing that there has been a many mergers and acquisitions. According to iBanknet Bank Mergers and Acquisitions List of 6/30/2019, there has been 447 from 1/1/2018 to 9/3/2019. We found a great Datasource for bank descriptions from FDIC Summary of Deposits (SOD) from DATA.GOV 2017. With these two datasources in hand, we are going to use datascience to find valuable insight that banks can use.