The Data Incubator

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

Deep Learning with BigDL Online Course

Three-week Online BigDL Course

The Data Incubator is a Cornell-funded data science training organization. We run a 3-week part-time online program geared towards giving working professionals an immersive hands-on experience with Deep Learning in BigDL. Developed based on feedback from our hundreds of industry partners and using the same rigorous methodology as our Fellowship, the curriculum gets students ready to add Deep Learning to Spark workflows and transition existing Deep Learning systems to take advantage of the power of the Spark ecosystem.

Experienced teachers

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

Designed for working professionals

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

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
  • Basic Spark
  • Familiarity with linear algebra
  • Familiarity with machine learning

Target Audience:

This course is for you if:

  • You have some ML experience, such as our Machine Learning or Foundations course, and wish to learn more about neural networks and deep learning
  • You have experience modeling or have a background in data science, and you would like to learn BigDL
  • You would like to incorporate deep learning into existing Spark workflows

Learning Outcomes:

Upon completion of this course, you will:

  • Understand what machine learning, neural networks, deep learning, and artificial intelligence are
  • Know how and when to utilize BigDL

Sign up

Sign up for the Deep Learning with BigDL Online Course

To get more information, including the dates, and to get a detailed syllabus, enter your information below. The course tuition is $1695 with early-bird discounts available.

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: