At The Data Incubator we run a free eight-week Data Science Fellowship Program to help our Fellows land industry jobs. We love Fellows with diverse academic backgrounds that go beyond what companies traditionally think of when hiring Data Scientists. Matthew was a Fellow in our Fall 2015 cohort who landed a job with one of our hiring partners, AdTheorent.
Tell us about your background. How did it set you up to be a great Data Scientist?
What do you think you got out of The Data Incubator?
On top of this, as an online Fellow, I appreciated being split into small groups. In my case, this worked really well and I would encourage others in the same situation to use this to their advantage and hold regular meetings.
I feel that I have made some good friends amongst the other Fellows which I will take forward with me as I start my career as a Data Scientist in industry.
What advice would you give to someone who is applying for The Data Incubator, particularly someone with your background?
When you are working on your capstone project, spend some time on it before the course starts. This is an important project that you can use to showcase your skills and it can often come up in job interviews. The more time that you spend on it before the course starts, the more impressive your project will be and the more time you will have for the other course requirements. I was told by a number of employers that they really liked the projects that had web interfaces, so try and incorporate that into your project and don’t just have an iPython Notebook linked to on your github account.
If you are an online Fellow, don’t treat it as a course that you can spend a couple of hours a night on and still complete. It is likely that this will not work and if you do somehow pass the mini projects, you won’t get as much out of the course as people who treat it as a full-time job.
Mini projects are due on Saturday evenings – don’t leave these to the last minute, especially the ones using AWS as the queues will often be full with other Fellows trying to finish their projects. Start early so that you can finish early and prepare for the following week. [Editor’s note: We no longer have one shared AWS account for everybody; we encourage people to use their own to avoid queuing problems.]
What is your favorite thing you learned at The Data Incubator?
I also really liked the last project using Spark and Scala. This was something new and at first was a bit daunting but by the end of the week it was obvious how useful it can be and the brevity of the Scala code compared to using MRJob to accomplish the same task.
Could you tell us about your Data Incubator Capstone project?
To make these predictions, I incorporated information on the weather by scraping the Weather Underground website and built these into the model. I created a website which people can use to visualize historical data and also make future predictions.
Visit our website to learn more about our offerings:
- Data Science Fellowship – a free, full-time, eight-week bootcamp program for PhD and master’s graduates looking to get hired as professional Data Scientists in New York City, Washington DC, San Francisco, and Boston.
- Hiring Data Scientists
- Corporate data science training
- Online data science courses: introductory part-time bootcamps – taught by our expert Data Scientists in residence, and based on our Fellowship curriculum – for busy professionals to boost their data science skills in their spare time.