The Data Science Workshop is a three-week program in July where small teams of graduate students are paired with mentors from industry to complete an outstanding problem in data science. It was developed to address an issue that was highlighted by a number of our guests from theSpeaker Series: “The gap between academic science and industry is often narrow but deep. Many of the skills you may lack are seen as necessary by an employer, but can be easily learned.”
This is our fourth year of the workshop, and the last three workshops have been a huge success. Workshop participants have gone on to work for companies such as Google, Twitter, Uber, Bayes Impact, Cisco Meraki, Rhumbix, Sojern, Kanjoya, 6sense, Bolt Threads, and ATP Endeavors! In addition many of our former participants have become Insight Data Science fellows.
The workshop aims to provide participants with 3 things:
- Familiarity with common practices and concepts in Data Science
- A concrete experience to show employers
- Contacts in Data Science
Our program has a diverse group of people that came from a range of disciplines and programming experience. We expect to repeat such diversity this year. In order to get everyone to the same page, we will spend the week before the Workshop getting participants up to speed on git, Python, and other Data Science tools. Let us know if there is something you would like us to talk about!
Who signs up for the Data Science Workshop?
Our workshop is for people that are considering a career in Data Science. We believe that to make informed decisions, graduate students need opportunities to gain hands-on experience in appropriate career environments. Everyone is welcome. We only expect you to have some programming experience, though you don’t have to be an expert just yet! Most of our events are in the evenings so that you can still do your research while you participate in the workshop, though we do encourage you to hack at your project during the day. Applications for 2016 are not open yet, but please check back when they are!
Each team will be assigned a mentor. Mentors are Data Scientists that will guide students towards completing their project. Moreover, we expect participants to use mentors for more than just answering occasional questions or providing technical help. We want students to establish with mentors a relationship of learning, dialogue, and advisement. Click here for more information.
What do people work on?
There are two types of projects that a team can work on:
- A project proposed by their mentor.
- A Kaggle project.
Please email Lenny Evans at email@example.com with any questions or concerns.