This is another part of the students’ final project. A small group designed a survey to assess their classmates on different dimensions that capture the skills of a data scientist, and administered the survey to their classmates. The questions were of the form “Do you know what ___ means?”, or “Have you ever implemented ____?”. The students were well aware of potential biases in their questions, the limitations of self-reporting, etc. The survey was a great first pass.
This is an innovative way of describing and visualizing Data Scientists — it captures the variablity among data scientists, and allows for the potential for effective Data Science teams to be constructed by creating “constellations” of these stars, or overlaying the stars on top of each other to create “complete” data science teams. The visualization and survey represented an improvement over the data science profiles I gave them at the beginning of the semester. This was a collaborative effort among many students including Adam Obeng, Eurry Kim, Christina Gutierrez, Kaz Sakamoto, and Vaibhav Bhandari. Full report of last lecture still to come.
The Institute for Data Sciences and Engineering is in the process of developing interdisciplinary graduate certification programs, certificates and Master’s degrees to support IDSE’s educational mission. Part-time, full-time and online study opportunities will be available beginning Fall 2013. Information about these programs and application procedures for inaugural classes will be posted as it becomes available. […]
Last night the students gave their guest lecture. It was awesome! We’ll have a more detailed report tomorrow, but this image was already posted on twitter, so I thought I’d get it up here as a sneak preview for the rest of the lecture. Part of the students’ design concept was constellations and stars, so they have another nice visualization of “data science profiles” as stars. It will make more sense when you see it. Kaz Sakamoto, Eurry Kim and Vaibhav Bhandari created this as part of a larger class collaboration.
Tonight is the last class of the first iteration of Introduction to Data Science. I’m excited for the first half of tonight when the students will take over and deliver their lecture. They’ve sat through the entire semester, now it’s their turn. What do they have to say about Data Science? I’m looking forward to […]
Each Tuesday, Eurry Kim, a student in our class, picks one example of data visualization to share with us. This is the last one. Thanks for taking on this challenge this semester, Eurry. You did an awesome job! Eurry writes: With all this talk about big data, big potential, and big problems, I was feeling […]
This is a guest post from our course’s teaching assistant, Ben Reddy. Ben is a second year PhD student in the statistics department. He’s had the chance to view the class from a unique angle, so I wanted for us to get his perspective. Also, thank you Ben for your support this semester! We’re nearing […]
Dear Students, Yesterday Gil Press featured our class in his Forbes column, Big Data News of the Week. I’d like to take the opportunity to briefly discuss the ideas discussed in his article, as well my broader struggles with the celebrification of data scientists. Our class in the press I call this to your attention […]
