Youness Karmouch

Data science is a course that helped me understand data as a whole, analyze it, and sort through it. Managing data is everywhere, no matter what field of interest a person has. This course taught me how to represent data to an audience in a persuasive way by using data analyzing tools such as Tableau, Excel, and Piktochart.

A data-driven service I use every day is the app Sleep Cycle, which track my sleep patterns using my phone and wakes me up during light sleep period. the rows in the spreadsheet would be the time I went to bed, time spent in bed, time woke up, snore, sleep quality. For the columns, I would have day of the week, the location, the moon, and the weather.

https://www.forbes.com/sites/sarwantsingh/2017/11/06/are-car-companies-going-to-profit-from-your-driving-data/#5cae9609143c
I found this interesting article about how car companies can profit from your driving data. The article discusses a report done on “data monetization in cars”. This report found that vehicle manufacturers have an opp…[Read more]

A KPI that I use every day is an App called “Sleep Cycle” which tracks my sleep patterns and wakes me up during light sleep period. The app gives pretty good analysis of your sleep quality through graphics and different factors that impact it. You can also listen to your snoring! The app has charts that help understand your data easily, and hel…[Read more]

I think that mistake 3 “Failing to do a full backup first” is the most common mistake and the easiest to avoid. It is very important to always back up all sets of data. Without a backup, you would have to start from scratch to recollect the data which can be time-consuming or very difficult to do, especially if you have a deadline. One time I made…[Read more]

https://www.economist.com/news/finance-and-economics/21729464-drone-insurance-showing-way-huge-volumes-data-make-real-time-insurance

I found this article from the Economist titled “Huge volumes of data make real-time insurance a possibility”. The article talks about how drone insurance startups are showing the way for the on-demand ins…[Read more]

I think the most important thing in data visualization is to “compare” the data. To understand a graph, it is important to compare data over a period of time or between two or more things. When comparing data, it is very helpful to have it all in the same visual to make it easy for the audience to see things in perspective.

I think that online retailers such as “Amazon, eBay, and Zappos” have benefited the most from data science. E-retailers use data analytics to understand customer buying habits, and based on that information they make suggestions and show you things that you might be interested in buying. Also, through data science, they are able to better forecast…[Read more]

https://catalog.data.gov/dataset/food-inspections-8cc79
The data set I found through Data.gov is related to the inspection of restaurants and safety compliance upon inspection by the Chicago Department of Public Health. The data includes the time inspections conducted, and comments made during the visit, and any violations. This information would…[Read more]

https://catalog.data.gov/dataset/food-inspections-8cc79
The data set I found through Data.gov is related to the inspection of restaurants and safety compliance upon inspection by the Chicago Department of Public Health. The data includes the time inspections conducted, comments made during the visit, and any violations. This information would be…[Read more]

I found this interesting article https://www.economist.com/news/business/21728679-if-you-want-loyalty-get-big-data-mobile-technology-revamping-loyalty-schemes which talks about how companies benefit the most from their reward programs using data in smartphone apps. The article stated that many advances in the loyalty scheme have been driven by…[Read more]

There is a conventional wisdom that you have to go to college to be successful in life. To test this conventional wisdom we can take a sample of the population and divide them to two groups of those who went to college and those who didn’t. Based on this criteria, we ask these two groups of their overall well-being in the four areas of health,…[Read more]