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About The Data Incubator
The Data Incubator is a full-stack data science training and placement company. They deliver the most up-to-date data science curriculum available to students at every point of their data science career. From data science dabblers to PhDs and professionals... Read More
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Courses
Average Ratings (All Programs)
4.57/5
- Anonymous
- Graduated: 2018
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"TDI == SCAM"
- Andres Gonzalez Casabianca | Risk Analytics Consultant
- Data Science
- Graduated: 2017
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"Great way to hone your skills and position yourself as a Data Scientist in the industry"
The application process can be daunting and intimidating, however, each step has its reasons. This makes each cohort learn and progress in a homogeneous pace, which is key to a successful completion of the TDI.
I was part of the D.C 2017 winter cohort... Read More
Additionally, there is also a focus on soft skills, from getting your resume up to speed to effective communication. Each week there are dedicated sessions on how to tackle interview questions, how to sell yourself, and how to navigate opportunely the recruiting process, complementing TDI rigorous technical curriculum.
Going to the TDI was I not only enriching but also enjoyable. You come out of the program with a powerful network of top-notch data scientist, a second to none skillset and the toolkit to navigate the corporate world.
Comment- Xia | Sr. Data Scientist
- Data Science
- Graduated: 2015
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"Awesome program that I benefit a lot"
Completing miniprojects on diverse and up-to-date topics really helped me to be confident about how to apply my technical skills on solving problems in practical situations. The hands-on experience from end to end, especially the relevance of the techniques... Read More
The opportunity to have conversation and build relationship with different companies. This is not only for landing a job but more for a healthy business relationship in a long term. Getting the benefit from the bridge built up by The Data Incubator between fellows and partners is one thing. Another important goal of networking is for future communication and collaborations. Here comes our Fellows. I kept in touch with some of the fellows after we finish the program and we keep each other posted. It is invaluable having fellows experience the transition from academia to industry together including sharing thoughts and helping each other.
Comment- Anonymous | Data Scientist
- Data Science
- Graduated: 2018
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"A great way to transition from academia into industry"
- Anonymous | Data Scientist
- Data Science
- Graduated: 2017
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"Great opportunity to land your 1st Data Scientist job!"
- Liang S. | data scientist
- Data Science
- Graduated: 2016
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"a window to the industry"
- Tim Weinzirl | Data Scientist
- Data Science
- Graduated: 2017
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"A full-stack pipeline for leaving academia"
I attended The Data Incubator during Spring 2017. I earned a data science position with a hiring partner in the San Francisco financial district within three weeks of graduating. Below I enumerate the many aspects of The Data Incubator I found valuable.... Read More
Resume building:
Starting at the semi-finalist level, applicants are provided strategies for resume writing. With some careful thought, I was able to portray seemingly bland parts of my academic background as eye-catching resume bullet points. Time is also dedicated in the first days of the program for polishing resumes yet again before final submission to the employer-facing online resume book.
Professional head shot:
Prior to the program, Fellows and Scholars are advised to get a professional head shot. I had never done this before (or really had been aware of such services), but I realized it was an important part of going all in. While this can be expensive, Fellows who successfully join a partner company are reimbursed for the head shot (I was).
Structured curriculum and weekly miniprojects:
The data science curriculum includes lectures, daily coding challenges, and miniprojects. Weekly lectures are accompanied by IPython notebooks mixing text exposition with runnable code. There is a lot of lecture material to master every week, and persevering here helps with interviews and the miniprojects. The notebooks encapsulate the advanced features of scikit-learn, SQL, and big data tools (Hadoop, Spark), and they make for indispensable reference material after the program. The miniprojects are essentially problem sets and provide hands-on experience with these tools.
The capstone project:
This is meant to be an application of data science to a publicly available (or scrapable) data set that is ultimately presented as a web application. It is adisable to have a rough draft, or at least a strong start, on the project before beginning the program, so start thinking about this before applying. There are several upshots to doing well on the capstone: 1) You have a recent data project to talk about in interviews that is more substantive than any of the individual miniprojects, 2) Practice building a web app (e.g., with Flask) for deployment on cloud services (e.g., Heroku), 3) Practice pitching your project in weekly video updates; for these videos, I learned how to edit video/sound with Openshot and to splice in images and screen capture footage of my project.
Soft skills lectures and interview practice:
Soft skills lectures provide coaching for resume writing, onsite interviews, and salary negotiations. Weekly interview practice covers computer science and statistics problems of varying difficulty, both on pen/paper and in front of a whiteboard.
Summary:
The Data Incubator is an extremely worthwhile experience. The components of the program outlined above have a snowball-like cumulative effect at turning academics into viable industry job candidate, commensurate with the effort they put into preparation before and during the program.
- Anthony
- Data Science
- Graduated: 2017
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"A Program That Lives Up to its Promises"
TDI gave me a lot of experience handling data in a way that I didn't get in an academic environment. The data sets were big, messy, and realistic. In addition, I thought that the capstone was an excellent way to get into a more industrial environment.... Read More
I also felt that TDI gave me a number of excellent opportunities. It may seem frustrating at times, but the partners really do want to hire Fellows, and TDI's salary and compensation ranges are very accurate (in my experience). I'm not sure I would have gotten the same response rate and offers if I hadn't been applying through TDI.
Comment- Aurora LePort | Data Scientist
- Data Science
- Graduated: 2016
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"TDI: A valuable stepping stone to your first DS job"
- Luis | Research Scientist
- Data Science
- Graduated: 2017
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"A game changer"
Learning:
The Data Incubator was an outstanding experience. I got to know and work with some of the brightest minds there are, the cohort included Ph.D's and Post Docs from Stanford, Duke, Johns Hopkins, Yale among others. We were all gathered in the same... Read More
I was exposed to so many different technologies, from big data to deep learning, from statistical analysis tools to machine learning, some of them I already knew and some were new to me.
Interviewing:
They have a great list from hiring partners all over the US (and many abroad), including very big names from Silicon Valley and Seattle.
We had weekly interviewing practice, from hard to soft skills, from coding to communicating.
Your success is their success, it is a win-win scenario.
CommentThe Data Incubator's average rating is 4.57 out of 5.0 based on 23 review(s).