The Data Incubator

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

Data Science for Business Leaders Course

Bootcamp Course for Data-Driven Managers

The Data Incubator is a Cornell-funded data science training organization. The Data Science for Business Leaders bootcamp course is aimed at 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.

Experienced teachers

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

Make data-driven decisions

Understand the business implications of technical decisions and be able to assess the risk-reward trade-offs of different projects.

Designed for working professionals

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

Bridge technical and business teams

Learn how to communicate business objectives to data scientists and engineers and translate data science insights for business professionals and decision makers.

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:

  • No technical background is required.

Target Audience:

This module is aimed at business professionals who want to learn about data, machine learning, and artificial intelligence.

This course is for you if:

  • You work with data scientists or analysts regularly
  • You manage teams or projects with a significant data component
  • You find yourself translating between data and management

Learning Outcomes:

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.

Sign up

Sign up for the Data Science for Business Leaders Course

The next Data Science for Business Leaders Course will run from 2018-12-04 to 2018-12-13. Classes are generally held on Tuesdays and Thursdays from 7:00-9:00 PM ET/ 4:00-6:00 PM PT, with some exceptions for holidays. The deadline for registration is 2018-11-30. The course tuition is $1095 with early-bird discounts available.

The exact dates for the next session will be: 12/04, 12/06, 12/11, 12/13

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.

Please enter your contact information to receive more information.

*

*

*

Success! Please check your inbox for a confirmation email. Occasionally, emails are sent to the spam folder.
Invalid Information! Please enter all your information
Something went wrong! Please resubmit and contact us if the problem persists.
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: