Patrick Murt

I feel that the biggest mistake that one could make on the list is starting a new database without doing a full backup. I say this because losing any amount of data without backing it up first is a risk. To lose minutes, hours, or even days of progress to a slip up as avoidable as backing up data isn’t worth the trouble.

One thing I’ve learned in this course is that in the ever-changing domain of the Business world, understanding data and how it works is crucial to efficiency. If I had to explain this course to a future student I would say that it is about learning what data is used for and how it factors into Business application.

One service that utilizes data is Twitter. Each row could represent the people whose accounts I follow, and the columns could represent number of Tweets, Number of Likes, Number or Retweets, and whether or not they follow me back.

One example of a KPI that I use daily is my performance on my iOS game, Clash Royale. The app tells you how many Crowns you’ve achieved in battle. Crowns measure the amount of battles you’ve won or lost against other players, where more crowns mean more wins, and less crowns means less wins. Thousands of people play this game regularly, and…[Read more]

https://projects.fivethirtyeight.com/trump-approval-ratings/

I chose this article because it contained data relating to Donald Trump’s approval rating while he currently holds office. We can see in the article that in early February of 2017, Trump’s approval rating was higher than his disapproval rating. However, this quickly changes towards…[Read more]

In my opinion, the most crucial principle is to “Be Skeptical”. Without verification of collected data, the facts remain a mystery. A data set is incomplete as long as its data is not known to be factual. Being skeptical while conducting research with data collection is completely necessary in order to maintain a certain level of credibility.

The most important takeaway from last week’s class in my opinion was the identification of personal bias as a signal problem in data collection. An example of bias would be how I was looking for places to eat this weekend on Zomato, but for almost all of the restaurants I saw had mixed reviews, either boasting about good food, or complaining about…[Read more]

http://www.networkworld.com/article/3160132/application-development/want-to-be-a-software-developer-time-to-learn-ai-and-data-science.html
The article I read, which was titled “Want to be a software developer? Time to learn AI and data science”, discusses the evolving demand for a variety of skills in the software industry, especially Artificial…[Read more]