The Data Incubator
The Data Incubator offers an intensive full-time, 8-week Data Science Fellowship in NYC, San Francisco, Washington D.C., and online. The Data Incubator is a Cornell Tech-funded training and placement organization leading the charge on data science education. The course accepts applicants who have advanced degrees in STEM and equips them with the final skills to be self-sufficient, productive contributors to data science.
The Data Incubator's Fellowship application process is online, and applicants should have a strong scientific training where they can work with data programmatically and make valid real-world inferences based on data. Applicants also usually have a strong background in probability, statistics, and experience with programming, scripting, or statistical packages.
The Data Incubator also helps companies find new hires through the fellowship program. With various campuses in different locations, the program is free for admitted Fellows, and employers pay a Fellow's tuition fee if they are successfully hired. Students receive mentorship from hiring companies throughout the program and will build a portfolio project that employers value. The Data Incubator only accepts PhDs and Master's graduates.
The Data Incubator is a Pragmatic Institute company.
Recent The Data Incubator Reviews: Rating 4.79
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Start Date None scheduled Cost $3,495 Class size N/A Location OnlineThe 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. This class is for you if: - You have taken our Data Science Foundations course and want to deepen your understanding of machine learning - 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 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 Find out which TDI online data science course is right for you https://www.thedataincubator.com/online-course-assessment.html
Deposit The course tuition is $3,495.00 with early-bird discounts available. Financing
Minimum Skill Level - Intermediate Python - Familiarity with linear algebra - Familiarity with statistical modeling Prep Work Recommended: Data Science Foundations Online Course from The Data Incubator Placement Test No Interview No Start Date None scheduled Cost $1,695 Class size N/A Location Online3-week part-time online program geared towards giving working professionals an immersive hands-on experience with Deep Learning, Neural Networks, Artificial Intelligence, and TensorFlow. Developed based on feedback from our hundreds of industry partners and using the same rigorous methodology as our Fellowship, the curriculum transforms AI amateurs into AI professionals.
Deposit The course tuition is $1,695.00 with early-bird discounts available. Financing
Minimum Skill Level - Intermediate Python - Familiarity with linear algebra - Familiarity with machine learning Prep Work Recommended: Data Science Foundations Online Course from The Data Incubator Placement Test No Interview No
- Data Science, Data Visualization, Hadoop, Spark, Data Analytics , Data Structures, Algorithms, Artificial Intelligence, SQL, Python, Machine Learning
In PersonFull Time45 Hours/week8 Weeks
Start Date None scheduled Cost $0 Class size 70 Location San Francisco, New York City, Washington, OnlineThe Data Incubator Fellowship is an intensive 8-week program to transform PhD and Master's level data and science experts into professional Data Scientists. The program not only provides Fellows with hands-on experience with the tools employers value, it also teaches them the "soft skills" necessary to succeed in this competitive job market. The Data Incubator Fellowship works to get Fellows placed at one of their over 250 hiring partners upon graduation from the program. Over the course of the program, Fellows receive instruction from industry expert Data Scientists while building a portfolio project to showcase their programming and mathematical talents, which employers value. The online Scholar option of our Fellowship program is a paid option. Half of program tuition is refunded to Scholars who find a job with one of our hiring partners after graduation. Applications for both the free, intensive and paid, online programs follow the same process. After an application is accepted, applicants are given the option to participate in either program and details about cost and financing for the online Scholar program are provided.
Deposit Please see https://www.thedataincubator.com/fellowship.html#apply to request information about our paid Scholar option as part of the Fellowship. FinancingAvailable through Climb Credit
Minimum Skill Level Must have or be within 1 year from completing a PhD or Master's degree. Prep Work https://blog.thedataincubator.com/2014/09/how-to-prepare-for-the-data-incubator/ Placement Test Yes Interview Yes Start Date None scheduled Cost $1,095 Class size N/A Location OnlineThe Data Science for Business Leaders bootcamp course was created for business professionals who want to learn about data, machine learning, and artificial intelligence. No technical background is required. You should take this course if you work with data scientists or analysts regularly, manage teams or projects with a significant data component, or find yourself translating between technical teams and management. The Data Science for Business Leaders course is designed for participants to gain the following: - Strategies to identify, capture, and extract value from both the current and potential data sources accessible to their organizations - A high-level understanding of key machine learning and artificial intelligence methods and how they can be applied to solve business problems and make intelligent business decisions - Guidelines for evaluating potential data science projects to identify return-on-investment "wins" for your business - Strategies for attracting, retaining, and supporting data science talent - Tips for anticipating and avoiding common pitfalls in data science applications. This class will run 4 consecutive days, Monday (5/20) through Thursday (5/23), from from 3:00-5:00 PM ET/ 12:00-2:00 PM PT each day.
Deposit The course tuition is $1,095.00 with early-bird discounts available. FinancingYou can apply for financing with our partner, Climb Credit, and get a decision same-day with no impact on your credit. Refund / Guarantee Unfortunately, there are no refunds available.
Minimum Skill Level No technical background is required. Placement Test No Interview No
- Data Science, Data Visualization, Data Analytics , Data Structures, SQL, Python
OnlinePart Time6 Hours/week8 Weeks
Start Date None scheduled Cost $3,495 Class size N/A Location OnlineThe 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 foundational data science techniques. Class sessions are LIVE online presentations, twice each week. 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 Data Science Fellowship program, to transform data amateurs into data professionals.
Deposit The course tuition is $3,495.00 with early-bird discounts available. Financing Scholarship A $350 scholarship is available via CourseReport.com
Minimum Skill Level - Elementary programming knowledge - Familiarity with statistics Placement Test No Interview No Start Date None scheduled Cost $1,695 Class size N/A Location OnlineData science is about helping humans understand the story behind the data, and visualizations provide a powerful tool for helping the analyst understand and communicate that story. Students in The Data Incubator's three-week, part-time Data Visualization course discuss the biases and limitations of both visual and statistical analysis to promote a more holistic approach. This course uses the same rigorous methodology as our Fellowship program.
Deposit The course tuition is $1,695.00 with early-bird discounts available. Financing
Minimum Skill Level Elementary programming knowledge Placement Test No Interview No Start Date None scheduled Cost $199 Class size N/A Location OnlineIntroduction to Python for Data Science is a 3-hour online workshop that teaches students how to use Python to extract, clean, and analyze data. This workshop is taught by a live instructor, so students have the opportunity to ask questions and receive feedback as they learn. Students will gain hands-on practice using Python for data science and leave the course ready to work on their own data science projects. Students who take our Intro to Python workshop qualify for a special tuition credit on our 8-week Data Science Foundations course for the cost of this workshop. Python has developed over decades into a versatile and hugely popular programming language for several reasons. It’s become an essential tool for data science and other scientific computing tasks, largely due to a thriving ecosystem of open-source libraries for analysis and visualization of large datasets. This course introduces students to working with Python packages that are commonly used for data science tasks like data manipulation and machine learning. First, we’ll cover basic Python syntax - showcasing the language’s intuitive code style and broad capabilities. We’ll demonstrate how students can easily start working with Python in Jupyter Notebook, an interactive computing environment that allows one to write and run live code - providing students with hands-on practice using Python for data science. Then, we’ll introduce students to Python’s powerful packages, extensions to the language that make it one of the most capable programming languages today. Students will gain familiarity with the Python packages focused on data-related tasks that form the Python data science "stack". Takeaways Ability to write and run Python code for data analysis in data science notebooks (data cleaning and reformatting, exploration, analysis). An introduction to the fundamental open-source data science libraries in Python and their roles, strengths, and weaknesses for data analysis (including: NumPy, Matplotlib, scikit-learn, & more). This is a hands-on workshop. Students will be immersed in code, and develop scripts & notebooks, which they can take home for future use. Pre-requisites Basic technical ability, comfort with computers, and desire to learn new tools. Minimal experience using computers for analysis or repeated tasks (like formulas or macros in Excel). No installation necessary! All course material is online - students only need internet access and a laptop with an internet browser (like Google Chrome or Mozilla Firefox).
Deposit N/A Tuition Plans Early bird discount available Refund / Guarantee Unfortunately, there are no refunds available.
Minimum Skill Level Basic technical ability, comfort with computers, and desire to learn new tools. Minimal experience using computers for analysis or repeated tasks (like formulas or macros in Excel). Prep Work No installation necessary! All course material is online - students on Placement Test No Interview No
The Data Incubator Reviews
29 reviews sorted by:
- Awesome program!- 6/8/2018Anonymous • Graduate • Course: Data Incubator Fellowship • Campus: Washington
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 to that in industry, is going to be a long term benefit for me and certainly for any previous and current fellow.
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.
- Feels like a scam!- 5/11/2018Anonymous • Applicant
I was a PhD student in physics who decided to switch to data science. I applied to both Inisght and the Data Incubator. The experience of the two bootcamps is very different. At Insight, they come across as very kind and helpful. Genuinly trying to get you some experience. While at Data Incubator, they are non-responsive and money oriented. You have to do a huge amount of work to get in, before even getting a single email from a coordinator. When you are selected as a semi-finalist, there is not much information about the next step, but they basically want you to have a full project ready to propose and talk about. After you have done all this work, more than onsite-interviews to data scientist at Google, you might end up with the "great news" that you have been selected as a scolar, where you have to pay $16,000 for the session. This is more than 2 semesters at a prestigious college. To me it seems like a scam, but that is just my oppinion. You will to better of taking online courses and traveling to Bahamas for this money!
Good luck on your transition!
- Scam- 1/20/2018Anonymous • Applicant • Course: Data Incubator Fellowship • Campus: San Francisco
All good review you can find about them on the web are very similar in style and were written by the same person or a handful of people. The curriculum is mediocre, to put it mildly. The promises of financial aid are lies. Once you complete all their assignments they will ask you to pay at least $18,000. And finally, to get the assignments done you have to possess enough knowledge that will certainly get you a job as a data scientist. Sheer waste of time and money.
- Worth the application effort- 8/17/2016Anonymous • PhD • Campus: San Francisco
I went through the complete application process which involved several coding challenges, project proposal, and interviews, and thankfully, got in the program. Although their whole admission process has plenty of room for improvements (e.g. solution submission is a bit cumbersome, no contact person nor phone # for assistance), it takes about six to eight weeks, and a fair amount of work from the applicant; yet in hindsight, I think the whole process was instructive and helped sharpen both my programming, data analysis, and presentation skills. If you're phd academic refugee looking for a switch into data science industry, the data incubator is certainly worth a try. Good luck!
- Warning: Not a path for changing fields- 8/11/2016Anonymous • Applicant
Here's a warning: They don't seem interested in training people from scratch, despite what they claim. They appear only interested in training people who already have a pretty good knowledge base and could possibly already get a good job in the field, based on the application process. And their application process is amateurishly executed at best. The program itself might be just fine (it seems to be well regarded by those who do get in), but they seem like they're probably just trying to get a financial piece of the pie for demand for these positions and working off desperation for recent PhDs trying to get a job in a marketplace that is extremely hostile to on-the-job training.