The Data Incubator

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

Machine Learning Course

Eight-week Online ML Bootcamp

The Data Incubator is a Cornell-funded data science training organization. We run an introductory 8-week part-time online program geared towards giving working professionals an immersive hands-on experience with Machine Learning. Developed based on feedback from our hundreds of industry partners and using the same rigorous methodology as our Fellowship, the curriculum transforms ML amateurs into ML 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 datasets. 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.

Curriculum

Prerequisites:

  • Intermediate Python
  • Familiarity with linear algebra
  • Familiarity with statistical modeling

Target Audience:

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

Learning Outcomes:

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

Course Outline:

Sign up

Sign up for the Machine Learning course

The next Machine Learning course will run from 2018-07-09 to 2018-08-29. Classes are generally held on Mondays and Wednesdays from 7-9 PM Eastern, with some exceptions for holidays. The deadline for registration is 2018-06-22. The course tuition is $3,495.00 with early-bird discounts available.

The exact dates for the next session will be: 7/9, 7/11, 7/16, 7/18, 7/23, 7/25, 7/30, 8/1, 8/6, 8/8, 8/13, 8/15, 8/20, 8/22, 8/27, 8/29

Learn More
Climb Credit

Interested in the course but need help with financing? We've partnered with Climb Credit to help. Climb offers affordable, 3-year financing with fixed interest rates and low 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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Testimonials

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

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:

Yelp
Flatiron Health
Foursquare
Mashable
Genetech
NY Times
Capital One
Pfizer
1010data
Microsoft
Ebay
JP Morgan

A few of our press mentions: