Dylan Pesce

The most important takeaway from this class would have to be the different forms of data manipulation using software programs such as Tableau and Excel. Excel data analysis is imperative for anyone pursuing a market research/data analyst position. Data science embodies all of the processes necessary with bring analysis to fruition using data of all sorts.

Rate My Professor serves as a great example for the weekly discusion. If rendered in a database the colums would inlcude, professor first/last name, location, school, would take again rating, level of difficulty, hotness. The user information would be stored in a db as the userid of who made the commment and their exitisting comments and ratings…[Read more]

https://fivethirtyeight.com/features/one-slow-month-doesnt-change-the-strong-trend-on-jobs/
The following article visualizes many key points related to our national economy and the global economy as a whole. It proves very informative regarding info related to the labor force and unemployment, and also poses as a great example to go off of for…[Read more]

Our group project will consist of the analysis of smartphone ownership (Pew Research) worldwide through the manipulation of survey data. We will leverage excel, SPSS, and Tableau for data manpulation and visualization. My group mates are Craig Stetchak, Phillip Aaron, Izzy Sarlo, and Anthony Petrole.

A KPI that is incorporated into my lifestyle are the metrics displayed on a treadmill at the gym, specifically distance, time, and calories burned. These are measureable becasue each can be represented as a numeric digit (ex. 0.09 miles traveled, 2:20 minutes of use, and 230 calories burned so far). The metrics are achievable because i can alter…[Read more]

The most common mistake that I make when manipulating data AND the most important mistake to avoid in my opinion is to back up data. On many occassions i have forgotten to back my data up and corrupted the file due to incorrect manipulations, then I would have to restart from square one when i could have backed up each step of the way to save time…[Read more]

https://www.forbes.com/sites/paularmstrongtech/2017/03/03/how-big-data-is-going-to-change-over-the-next-three-years/#470546eb7bd3
This article explains how big data will evolve over the next three years. Data at its current state is sufficient in making business decisions; however, the lack of depth relative to what it may be in the next few…[Read more]

Simplify is most important to me in terms of data visualization (not necessarily the case with data manipulation where more detail is better) because many data visualizations often try to tell too much of what’s going on in a single frame, which may cause ambiguity and false assumptions. Data visualizations need to be telling of the problem they…[Read more]

I see the healthcare industry being entirely disrupted by data science in regards to cyber-security, patient data to determine the effectiveness of medicines, and rating systems for specific surgeons and practices. Personally, I see data science playing a big part in my career because I plan to go into data analysis, where I will be aiding…[Read more]

http://www.forbes.com/sites/danielnewman/2017/01/31/realizing-the-potential-of-big-data-and-analytics/#50b01f951c66

The article above explains the potential of data analysis, and “potential” is used because it is heavily underutilized in today’s business process, according to a Harvard Business Review. Another great point surfaced in the…[Read more]

It is generally inferred that organization will correlate directly with performance and success; however, there have been many cases where bearers of substantial knowledge have displayed a lack of organization in their daily lives. You could test this by pulling a sample from an online database of students and comparing on the basis of…[Read more]

Got it, thanks.

http://eportfolios.fox.temple.edu/dylanpesce/