The Data Incubator

Data Scientist: The Sexiest Job
of the 21st Century
Harvard Business Review

Data Science Foundations Online Course

Eight-week Online Data Bootcamp

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 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.

Experienced teachers

Learn from The Data Incubator's experienced data science instructors dedicated to teaching data analytics.

Jumpstart your career

Learn the most sought-after tools and techniques in the industry to help jumpstart your data analyst career.

Designed for working professionals

This course was designed for the busy lives of working professionals with a part-time schedule and recorded lectures.

Build a series of miniprojects

Gain hands-on experience applying the tools employers value to real-world data sets. All powered by a 100-node cluster.

Live lectures

Live lectures allow you to ask your instructor questions and interact with your classmates.

Small class sizes

Small class sizes ensure you have plenty of access to your instructor and can receive personalized feedback on your progress.



  • Elementary programming knowledge
  • Familiarity with statistics

Target Audience:

This course is for you if:

  • You are interested in the field of data science and want to learn essential data science skills
  • You are 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 data sets 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

Learning Outcomes:

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
  • Help your employer solve business problems using data-driven insights

Not sure if Data Science Foundations is right for you? Take our online data science skills assessment to get a recommendation on where to start with your online data science learning:

Course Outline:

Sign up

Sign up for the Data Science Foundations Online Course

The next Data Science Foundations Online Course will run from 2019-05-28 to 2019-07-23. Classes are generally held on Tuesdays and Thursdays from 6:30-9:30 PM ET / 3:30-6:30 PM PT, with some exceptions for holidays. The deadline for registration is 2019-05-24. The course tuition is $3495 with early-bird discounts available.

The exact dates for the next session will be: 5/28, 5/30, 6/4, 6/6, 6/11, 6/13, 6/18, 6/20, 6/25, 6/27, 7/2, 7/9, 7/11, 7/16, 7/18, 7/23

Climb Credit

Interested in the course but need help with financing? We've partnered with Climb Credit to help. Climb offers 3-year financing with fixed interest rates and monthly payments. Apply online and get a decision same-day with no impact on your credit. Have questions about how it works? Check out their FAQ.

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TDI + MRINetwork

The Data Incubator recently teamed up with MRINetwork to increase its access to hiring partnerships worldwide. MRINetwork is comprised of over 1,500 search professionals who specialize in hundreds of industries, many of whom came from the industries in which they now recruit. The addition of MRINetwork, and its network of existing clients, will add thousands of hiring partners on top of TDI's existing 300+ hiring partnerships. As the need for data scientists has increased exponentially over the past few years, MRI provides TDI students with immediate access to new data science positions in geographies worldwide, as well as greater access to companies with a fundamental need for the data science talent required to harness the power of their data.


Christian Templeton

"The data science skills I sharpened at The Data Incubator helped me analyze diversity in STEM education, model SaaS stock prices, and compare industry growth rates. The instructor's background in quantitative finance made for relevant use cases that benefit not only data scientists, but also data-driven finance people like myself."

Christian Templeton, Google

Formerly Salesforce, Symantec. Accepted to The Data Incubator Fellowship.

Michelle Miller

"From day one I was getting my hands dirty working with data using industry-relevant tools. Having completed the program I'm now better equipped to manage engineering and product teams, and able to conduct sophisticated ad-hoc analysis. Everyone at TDI blew me away; truly exceptional."

Michelle Miller, Hack Reactor

Formerly Berkeley, Smithsonian

David Kwon

"Their heavy focus on applied learning meant that I was working on real data and solving real problems right from the start. While lectures were a valuable component of their courses, the real learning took place while working on projects. These projects were practical, engaging, and instructive, and generally great opportunities to get hands-on experience with what I had learned in the lectures."

David Kwon, Yelp

Formerly University of California, Berkeley

Frequently Asked Questions

This course is designed for anyone who would like to learn the essentials of data science. Students will gain hands-on experience working with some of the most in-demand big data technologies and leave ready to kickstart their data science careers.

You can find the dates of upcoming sessions and register via The Data Incubator's Eventbrite page.

Our Foundations course includes four hours of lectures each week. You'll also want to allot extra time for reviewing lectures and working on the associated projects; we generally recommend setting aside at least four additional hours per week for this, but it's up to you how much time you'd like to put in.

As Foundations is intended to add a set of skills for students who are currently employed full time, we do not offer placement or job search support for this course.

The Foundations course was initially designed as a prep course for students applying to our Data Science Fellowship, and builds skill sets in two areas essential to the Fellowship: the ability to code proficiently in Python and the ability to apply statistical methodology to datasets. However, completion of the Foundations course does not guarantee acceptance into the Fellowship program.

The Data Incubator's Fellowship program is a full-time, intensive data science program spanning two months. Fellows in the program should have programming experience, a background in a highly analytical field, and the ability to work independently on programming projects. This course is for people with advanced degrees who want to make a full transition from academia to industry-focused data science.

The Foundations course, on the other hand, is a part-time, online program designed for people who'd like to learn the essentials of data science to augment their current skill sets. The class is centered on data wrangling and analysis using Python and is taught by a live instructor. Prior coding experience is definitely a plus, but not required (see next section).

There's no official skill set required for this course, but a basic understanding of the Python language is strongly encouraged. If you don't have any experience with Python, we recommend you complete Codecademy's free Python basics courses before beginning the Foundations program. With that said, we've had successful students in the past who came to us with no prior coding experience.

Foundations students will learn how to programmatically work with large, real-world datasets to solve business problems. Over the course of eight weeks, students learn how to extract, clean, and analyze data using Python. Students will leverage Python's powerful libraries to build predictive models to make better decisions, and help employers solve business problems using data-driven insights.

Yes! Thanks to a new partnership with Climb Credit, Foundations students can apply for a fixed-interest financing plan with monthly payments. You can submit your application online and get a decision the same day, with no impact to your credit score. If you're interested in applying, you can find more information here.

With loads of data you will find relationships that aren’t real.
Big data isn’t about bits,
it’s about talent.
Forbes Magazine

Curriculum built with feedback from over 250 industry partners:

Flatiron Health
NY Times
Capital One
JP Morgan

A few of our press mentions: