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The Data Incubator

Courses: Applied Machine Learning, Data Science Fellowship, Data Science Foundations, The Data Science Fellowship Program, +-3 more.
The Data Science Fellowship Program

Locations

Online, Boston, NYC, San Francisco, Washington D.C., +-3 more.
Washington D.C..

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

Applied Machine Learning

  • Cost: $3,495 - $3,495
  • Duration: 8 weeks
Locations: Online
Course Description:

The Data incubator's Machine Learning course is a part-time, online program geared towards giving working professionals immersive, hands-on experience with the most sought-after machine learning skills. Developed with feedback from our hundreds of industry partners and based on the same rigorous methodology as our Fellowship, our course gives students a thorough understanding of the mathematical and statistical underpinnings of machine learning, as well as the practical skills needed to harness the power of raw data to solve pressing business problems.

Upon completion of this course, you will:

- Understand and be able to deploy the steps required to complete an end-to-end machine learning project
- Have learned about various machine learning models, how they work, pros and cons of each, and how they compare
- Know how to best use machine learning to solve business problems and analyze problems using a machine learning perspective
- Understand how to effectively use Python's machine learning library

This course is for you if:

- You have experience with modeling or have a background in data science, and would like to learn the theoretical principles and practical applications of machine learning
- You want to gain hands-on experience applying machine learning techniques to real-world datasets

Subjects: Machine Learning, Algorithms

Data Science Fellowship

  • Duration: 8 weeks
Locations: Online, Boston, NYC, San Francisco, Washington D.C.
Course Description:

The Data Incubator's Data Science Fellowship is an intensive, 8 week, bootcamp-style program that helps top data and science talent leaving academia to transition to roles as professional data scientists. Fellows learn to combine their subject matter expertise with industry-leading data aggregation and analysis tools and techniques. Job placement training and support is a key feature of TDI’s Fellowship. Throughout the program, Fellows are connected with our 250+ hiring partners, and most are placed within three months of graduation.

Applicants must have or be within 1 year of obtaining their Master's or PhD degree.

Tuition is free for admitted Fellows.

The Fellowship runs quarterly with cohorts in New York City, San Francisco, Washington DC, and Boston. Apply today at http://bit.ly/2ip1yGQ

Subjects: Data Science

Data Science Foundations

  • Cost: $3,495 - $3,495
  • Duration: 8 weeks
Locations: Online
Course Description:

The Data Incubator's Data Science Foundations online training course is an introductory 8-week, part-time bootcamp geared towards giving ambitious college and graduate-level students, recent college graduates, and working professionals an immersive hands-on experience with fundamental data science techniques. Class sessions are LIVE online presentations, twice each week for two hours each session.

Our Data Science Foundations online training course curriculum has been developed with feedback from our hundreds of industry partners, using the same rigorous methodology as our Fellowship program, to transform data amateurs into data professionals.

The course covers two themes: Introduction to Data Wrangling and Introduction to Predictive Analytics.

Upon completion of this course, you will be able to:

- Extract, clean, and analyze data using Python
- Leverage Python's powerful libraries to build predictive models to make better decisions
- Understand relational databases and utilize SQL to query and maintain databases
- Solve business problems using data-driven insights

This course is for you if:

- You're interested in the field of data science and want to learn essential data science skills
- You're new to Python or are self-taught and you're looking for a more robust, structured learning program
- You're a Data Analyst, Economist, or Researcher who works with large datasets and wants to make analysis easier and more effective with Python and SQL
- You're a Software or Data Engineer interested in learning the fundamentals of quantitative analysis
- You're interested in applying to TDI's Data Science Fellowship

Subjects: Python, Data Visualization, Data Structures, Data Science, Pandas

The Data Science Fellowship Program

  • Cost: $9,000 - $17,000
  • Duration: 8 weeks
Locations: Online, San Francisco, Washington D.C., NYC
Course Description:

The Data Science Fellowship Program from The Data Incubator is one of the most rigorous, intensive programs available today. Designed to create the data scientists of tomorrow, this full-time, 8-week program provides the skills needed to succeed in the “best job in America.”

Over the course of 8 intensive weeks, students work closely with expert instructors to master in-demand skills that will help launch their careers in data science. Each program includes several projects that showcase students’ world-class data science skills. Every student will also complete a capstone project using a public data set, and will build a tool to show off their talents to future employers.

The cost to attend the Fellowship in-person is $17,000. The cost to attend the Fellowship online is $9,000.
There are several financing options, including full and partial tuition scholarships, income sharing, loan agreements and more.

Subjects: Data Science

The Data Incubator Reviews

Average Ratings (All Programs)

Overall
Curriculum
Job Support

4.57/5

(23 reviews)
    6/15/2020
  • Anonymous
  • Graduated: 2018

Overall Score

Curriculum

Job Support

"TDI == SCAM"

I write this review as someone who received a fellowship. The Data Incubator is, to put it simply (and bluntly), a scam. But given how they've blanketed themselves in a glossy website and high-quality video presentations, it's hard to view them for what... Read More

Comment
    6/7/2018
  • Andres Gonzalez Casabianca | Risk Analytics Consultant
  • Data Science
  • Graduated: 2017

Overall Score

Curriculum

Job Support

"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
    6/6/2018
  • Xia | Sr. Data Scientist
  • Data Science
  • Graduated: 2015

Overall Score

Curriculum

Job Support

"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
    5/1/2018
  • Anonymous | Data Scientist
  • Data Science
  • Graduated: 2018

Overall Score

Curriculum

Job Support

"A great way to transition from academia into 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... Read More

Comment
    4/22/2018
  • Anonymous | Data Scientist
  • Data Science
  • Graduated: 2017

Overall Score

Curriculum

Job Support

"Great opportunity to land your 1st Data Scientist 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... Read More

Comment
    4/21/2018
  • Liang S. | data scientist
  • Data Science
  • Graduated: 2016

Overall Score

Curriculum

Job Support

"a window to the industry"

Since I had always been in academic before taking TDI,
TDI is like a window to the industry, a bridge walking
me smoothly from the academic world to the industry one.
Through a series of activities like panel discussion and alumni party,
TDI offered me... Read More

Comment
    10/21/2017
  • Tim Weinzirl | Data Scientist
  • Data Science
  • Graduated: 2017

Overall Score

Curriculum

Job Support

"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.

Comment
    10/17/2017
  • Anthony
  • Data Science
  • Graduated: 2017

Overall Score

Curriculum

Job Support

"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
    10/16/2017
  • Aurora LePort | Data Scientist
  • Data Science
  • Graduated: 2016

Overall Score

Curriculum

Job Support

"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... Read More

Comment
    10/16/2017
  • Luis | Research Scientist
  • Data Science
  • Graduated: 2017

Overall Score

Curriculum

Job Support

"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.

Comment

The Data Incubator's average rating is 4.57 out of 5.0 based on 23 review(s).

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