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The Data Incubator

Average Rating4.21
35 Reviews
3 Courses

The Data Incubator offers an intensive full-time, 8-week Data Science Fellowship, a part-time, 20-week Data Science Fellowship, and a full-time, 8-week Data Engineering Fellowship in NYC, San Francisco, Washington D.C., and online. Designed by experienced data science instructors and with feedback from industry partners, TDI’s data programs help students master in-demand skills so they can launch a data career. The course accepts applicants who have degrees in STEM...

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  • Nick
    Big Data Engineer • Applicant • Online
    Verified by LinkedIn
    Feb 09, 2022
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    Whatever you do stay away from this scam!

    I just finished grad school and applied to this program while looking for full-time positions. I was accepted into the program, but was unsure whether or not to accept because I was still waiting for various other applications and interview processes for real jobs to play out. I voiced this concern to whoever is in charge of their admissions and they assured me I would be able to cancel my contract (I planned to pay via their ISA option) before classes start. I accepted the agreement and...
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  • S
    Graduate • Data Science Fellowship Full-Time • San Francisco
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    Mar 13, 2021
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    Scholar

    Their numbers are not right. It is basically a data science school and not very helpful in landing jobs. Their hiring partner look for senior people which would not be found in a Data science cohort.

    If you want to attend don't pay the tuition and use their assisting payment method. They will forget you after the cohort finishes if you pay the full tuition.
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  • Anonymous
    Graduate • Data Incubator Fellowship • New York City
    Verified by GitHub
    Aug 02, 2018
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    Fun!

    TDI is an intensive fellowship program in data science. Very similar to what you would experience in corporate dynamic culture. However, don't expect to learn to coding or basic machine learning from scratch. You are expected to have basic understanding of ML and data science tool. I would strongly recommend you to do enough homework before you apply to avoid later disappointment. I took around 4-5 DS and ML classes on coursera before I applied. 

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  • Andres Gonzalez Casabianca
    Graduate • Data Incubator Fellowship • Washington
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    Jun 09, 2018
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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 and the 8 weeks were key to position myself as a Data Scientist in the industry. You share and work collaboratively with the rest of the cohort, making it invaluable because you are not only learning from the diverse curriculum but a...

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  • Anonymous
    Applicant • Data Incubator Fellowship • Boston
    Verified by GitHub
    May 13, 2018
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    N/A

    having projects ready is the key

    After the interview, I was not admitted, but I now know what my weakness was - lack of a prepared project. The exam for which  4days are given consists of 3 parts. Two parts are questions with ~8 subquestions with increasing difficulty. Anyone with a basic data science and programming skills will answer those questions in 2-3 full days. What I'd recommend doing is to complete the 3rd questions - on your project. In their email, prior to the exam, they give a hint that they want the project...

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  • Yina
    Data Scientist • Graduate • New York City
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    Apr 22, 2018
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    Great for landing the 1st data science job!

    I highly recommend this 8-weeks intensive training at The Data Incubator (TDI), because it really helped me to go deeper into data science field and get fully prepared for the essential skills to work in a big data industry.

    As a PhD graduate in chemistry background, the transition from academia to industry is not easy. But fortunately, I attended TDI during Winter 2017, and I gained full stack from the program, including the cutting-edge analytics techniques, p...

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  • Chak
    Graduate
    Verified by LinkedIn
    Apr 20, 2018
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    A great way to transition from academia into a data scientist role in industry

    As a recent graduate of the Winter 2018 cohort, going through the 8-week intensive data science training at The Data Incubator has taught me a great deal about various data science tools and has prepared me with the essential skills to thrive at my first data science job. I've gained a full data science stack, such as creating a web application, web-scraping, data cleaning, exploratory analysis and visualization, SQL, machine-learning, big data tools, and cloud computing, as well as a busi...

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  • Tim Weinzirl
    Data Scientist • Graduate • San Francisco
    Verified by Linkedin
    Oct 21, 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.

    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...

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  • Aurora LePort
    Data Scientist • Graduate • San Francisco
    Verified by Linkedin
    Oct 16, 2017
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    TDI: A valuable stepping stone to your first DS job

    TDI laid the foundation of knowledge for computer science and data science related concepts. The TDI curriculum provided me the breadth and depth of knowledge necessary to understand everything from software engineering and numerical computation to the use of programming tools (including Python and d3 for data visualization), Natural Language Processing, statistics and probability as well as the ability to apply parallel processing to data analysis. Importantly, TDI also prepared me for th...

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  • Luis
    Research Scientist • Graduate • San Francisco
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    Oct 16, 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 PosDocs from Stanford, Duke, Johns Hopkins, Yale among others. We were all gathered in the same place to exchange ideas and tackle our very demanding weekly projects (a different relevant subject each week) while working on our final, capstone project.

    I was exposed so many different technologies, from big data to ...

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  • Elham
    Graduate Research Assistant • Applicant
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    Aug 17, 2017
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    Do not get trapped! They'll ask you to pay $16,000 and work for them for free for 8 weeks!

    Hi,

    I am a PhD student in Mechanical Engineering. For my career, I’ve gave it a lot of thoughts and I chose to be a data scientist, so I got my minor in statistics. I’m going to graduate by the end of 2017. While ago, I received an email about Data incubator. I though it’s a good opportunity for me to learn more about data scientist and it’s going to be great for my resume. The first time that I applied for Data Incubator, it asked for recommendations and resume and the next step...

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    Alyssa Thomas of The Data Incubator

    Director, Program Experience

    Aug 23, 2017

    Elham, 
    Congratulations on being accepted as a Scholar this session! We know it can be hard to find out that you haven't been selected as a Fellow, but with a large number of applicants every session we have to make some very difficult decisions.  In the end less than 1% of our applicants are accepted as Fellows, and only about 2% as Scholars. Many of our most successful students applied to the program more than once before being accepted as Fellows, and we encourage anyone who is serious about a career in Data Science to keep trying! We also provide a blog post with application tips here: http://blog.thedataincubator.com/2014/09/how-to-prepare-for-the-data-incubator/

    While we understand your concern about the amount of work involved in the application - the work that our students do throughout the program is entirely their own. The Data Incubator does not own any rights to the work completed throughout the program, just the curriculum and training material itself, which is not available to anyone except our students.

    With regards to our hiring partners - over 90% of Data Incubator graduates are working in Data Science roles within 6 months of graduation. Our partners do pay a fee for hiring our graduates - this is why we can offer the Fellowship for free and it is a key component of keeping the program cost as low as possible for our Scholars. We are sensitive to the cost of the program though, which is why we offer a 50% tuition refund for scholars who are placed with hiring partners.

    We take our commitment to finding industry jobs for our Fellows very seriously, but that is also why we can only admit a small percentage of applicants. We strongly encourage all applicants to keep trying and improving their coding skills in the meantime!
  • Nick M.
    Jul 30, 2022
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    Not worth it

    The curriculum is good but basically whatever you learn, you learn on your own from resources available online. The big disappointment was finding jobs. They say they have 200+ partners but in fact most of them are not "Active in hiring". I only found 5 partners to apply from their CRM. Overall, they highly exaggerate their stats in every aspect. It doesn't worth 10 grands at all. And if you are a fellow, you definitely can find better positions on your own, don't bind yourself to their ...
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The Data Incubator Alumni Outcomes

Recent The Data Incubator News

Imogen Crispe
Published July 24, 2019
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Liz Eggleston
Published September 08, 2016
The Data Incubator is an intensive eight-week data science bootcamp which trains people with STEM backgrounds to become in-demand data scientists. With an acceptance rate of just 2%, we wanted to find out what the application process is like, and the types of applicants that The Data Incubator accepts. We asked Alyssa Thomas and The Data Incubator admissions team to answer all of our questi...
Liz Eggleston
Published May 11, 2015
While coding bootcamps can offer a high return on investment, the average tuition at code school is ~$13,584, which is no small sacrifice. But did you know that a number of not-for-profit bootcamps and well-organized programs actually offer free coding bootcamps? Expect rigorous application processes and competitively low acceptance rates, but for the right applicants, there is so much to gai...
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Published March 31, 2015
You don’t have to be a data scientist to read into these statistics: A McKinsey Global Institute report estimates that by 2018 the US could be facing a shortage of more than 140,000 data scientists. The field of data science is growing, and with it so does the demand for qualified data scientists. Sounds like a good time to pursue data science, right? No kidding! Data scientists make an avera...
Liz Eggleston
Published September 08, 2014
The Data Incubator is a course for PhDs who want to exit academia and enter into the world of Data Science. We talk to Jon Ferris, a cofounder and Director of Partnerships at The Data Incubator, about the unique 6-week course, requirements for admittance, and how the "bootcamp" model is being applied to Data Science.    What is your role at Data Incubator? How did you get involved i...

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How much does The Data Incubator cost?

The average bootcamp costs $14,142, but The Data Incubator does not share pricing information. You can read a cost-comparison of other popular bootcamps!

What courses does The Data Incubator teach?

The Data Incubator offers courses like Data Engineering Full-Time, Data Science Fellowship Full-Time, Data Science Fellowship Part-Time.

Where does The Data Incubator have campuses?

The Data Incubator has in-person campuses in Boston, New York City, San Francisco and Washington. The Data Incubator also has a remote classroom so students can learn online.

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