Data Scientist: The Sexiest JobHarvard Business Review
of the 21st Century
The Data Incubator is a Cornell-funded data science training organization. We run an introductory 3-week part-time online program aimed at business professionals who want to learn about data and AI. No technical background is required. You should take this if you work with data scientists or analysts regularly, manage teams or projects with a significant data component, or find yourself translating between data and management.
Learn from The Data Incubator's experienced data science instructors dedicated to teaching data analytics.
Understand the business implications of technical decisions and be able to assess the risk-reward trade-offs of different projects.
This course was designed for the busy lives of working professionals with a part-time schedule and recorded lectures.
Learn how to communicate business objectives to data scientists and engineers and translate data science insights for business professionals and decision makers.
Live lectures allow you to ask your instructor questions and interact with your classmates.
Small class sizes ensure you have plenty of access to your instructor and can receive personalized feedback on your progress.
This module is aimed at business professionals who want to learn about data and AI.
This course is for you if:
Upon completion of this course, participants will be able to apply their knowledge of data science to:
To get more information, including the dates, and to get a detailed syllabus, enter your information below. The course tuition is $1,595.00 with early-bird discounts available.
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.
With loads of data you will find relationships that aren’t real.Forbes Magazine
Big data isn’t about bits,
it’s about talent.