On October 27-28, Wesleyan will host our first DataDive event. Similar to DataFest, DataDive asks people to get to know a dataset in a very short period of time. At the end of the weekend, participants present to the information’s owner some important insights and ideas on how this data could be used. However, where DataDive is truly different is its desire for volunteers to understand specifically how their data could be used for good.
The Data Dollar Store was a shop that only accepted data in exchange for items. That’s right, data was this store’s form of currency. However, it wasn’t just data that this store required, but personal data. Appearing as a pop-up store in London in early September, the Data Dollar Store aimed to show people the true value of their personal data.
It’s bizarre to go to a university where it’s practically a given that your classmates will your mind when they tell you about their summer. This could be daunting, as not all of us have the resources for a big internship or trip around the world. However, you don’t need to travel to have a story worth sharing, a fact that seventeen Wesleyan students took advantage of this summer. The QAC’s Summer Apprenticeship is a program in which students partner with a faculty mentor to work on a data-based research project. I spoke to a couple of participants and asked them to tell me about their work.
As Drop/Add has ended, we have all finalized our schedules – for better or for worse – and decided which classes we will be taking for the next semester. A lot of you will be taking classes at the Quantitative Analysis Center; this year’s WesMaps shows that almost every QAC class is at or over max capacity for enrollment. However, maybe some of you wanted to take a class to develop some data-related skills, but had absolutely no idea where to start. I’ve had many friends come to me saying that they’ve realized these might be good skills to have, but that they feel like they don’t understand enough to even pick a course. While before I may have given a few recommendations, I would now give only one: QAC201.
With data science languages, sometimes learning the basics can be the hardest part. The QAC offers several .25 credit classes that introduce students to the necessities of different languages, but even fitting all the necessary information into a half a semester can be difficult. This past quarter, Professor Pavel Oleinikov utilized a website called DataCamp to help his students get comfortable with the basics of Python. DataCamp is an online collection of data science lessons that teaches users through videos and repetitive exercises. The website has an in-browser code box that allows users to code right on the website without having to download any software. Each lesson takes roughly 30 minutes to 1 hour to complete, making it a convenient way to nail down a specific skill.